A seminar report on "Silent Sound Technology" presented by Debi prasad ratha for the partial fulfilment of Bachelor in science in eletcronics and telecommunication.
Silent sound technology allows for communication without vocalizing words by analyzing electrical signals from speech muscles or images of the mouth. It has two methods - electromyography detects electric pulses from speech muscles and image processing analyzes mouth movements. Sensors are attached to the face to capture these signals, which are then converted to speech patterns through a vocoder and compared to a database to determine the intended words. While this technology could help people who cannot speak or allow for private calls, it currently requires many sensors attached to the face and has difficulties with tonal languages.
The document discusses silent sound technology, which allows communication without speaking aloud. It originated from the idea of interpreting silent speech electronically. The technology uses electromyography to monitor muscle movements when speaking and converts them to electrical signals representing speech. Image processing also analyzes lip movements. Some applications include helping people who lost their voice and covert military communication. The technology could enable silent phone calls and transmitting PIN numbers securely. Overall, silent sound technology implements "talking without talking" and may have useful applications in the future.
.....Silence is the Best answer for all the situations..... even your mobile understands!!!!!
There are lots and lots of technology that tries to reduce the Noise Pollution and make the environment a better place to live in. The paper tells about a new technology known as Silent Sound Technology that will paut an end to Noise Pollution.
Silent sound technology- Technology towards change.Suman Savanur
The document discusses silent sound technology, which allows people to communicate verbally over the phone without actually speaking. It does this through two methods - electromyography, which monitors muscle movements related to speech, and image processing of lip movements. The technology was first conceptualized in a 1968 film and was demonstrated at a 2011 trade show in Germany. It has potential applications for situations where silent communication is necessary, such as in noisy environments or for people with speech impediments. The document provides details on how the methods work and potential features and uses of the silent sound technology.
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by using electromyography to detect tiny muscle movements involved in speech and processing images of a person's mouth and face. The technology was first conceptualized in a 1968 film and is now being developed to allow "lost calls" in noisy environments to be answered silently. Potential applications include helping mute people communicate, secretly transmitting PIN numbers, and covert military communications. The technology is expected to be incorporated into phones and improve as nanotechnology advances.
This document summarizes silent sound technology, which allows people to communicate over the phone without using their vocal cords. It works by using sensors on the face to detect tiny muscle movements involved in speech and converting them into electrical signals. These signals are then matched to pre-recorded speech patterns and transmitted as audio to the other caller. While promising for applications like space communication, the technology currently requires many sensors attached to the face and has difficulties with language translation. However, future improvements in areas like image recognition, nanotechnology and miniaturization could make silent sound interfaces more practical.
This document discusses silent sound technology, which allows people to have phone conversations without making any sounds. It works by using electromyography to detect the tiny muscle movements involved in speech and converting those signals into computer-generated audio that is transmitted to the other caller. The technology has applications for situations where sound needs to be muted, such as in meetings or for astronauts in space. However, it still faces limitations like needing electrodes attached to the face and having difficulties with tonal languages. Future improvements could make the electrodes portable and add lip-reading capabilities.
complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
Silent sound technology allows for communication without vocalizing words by analyzing electrical signals from speech muscles or images of the mouth. It has two methods - electromyography detects electric pulses from speech muscles and image processing analyzes mouth movements. Sensors are attached to the face to capture these signals, which are then converted to speech patterns through a vocoder and compared to a database to determine the intended words. While this technology could help people who cannot speak or allow for private calls, it currently requires many sensors attached to the face and has difficulties with tonal languages.
The document discusses silent sound technology, which allows communication without speaking aloud. It originated from the idea of interpreting silent speech electronically. The technology uses electromyography to monitor muscle movements when speaking and converts them to electrical signals representing speech. Image processing also analyzes lip movements. Some applications include helping people who lost their voice and covert military communication. The technology could enable silent phone calls and transmitting PIN numbers securely. Overall, silent sound technology implements "talking without talking" and may have useful applications in the future.
.....Silence is the Best answer for all the situations..... even your mobile understands!!!!!
There are lots and lots of technology that tries to reduce the Noise Pollution and make the environment a better place to live in. The paper tells about a new technology known as Silent Sound Technology that will paut an end to Noise Pollution.
Silent sound technology- Technology towards change.Suman Savanur
The document discusses silent sound technology, which allows people to communicate verbally over the phone without actually speaking. It does this through two methods - electromyography, which monitors muscle movements related to speech, and image processing of lip movements. The technology was first conceptualized in a 1968 film and was demonstrated at a 2011 trade show in Germany. It has potential applications for situations where silent communication is necessary, such as in noisy environments or for people with speech impediments. The document provides details on how the methods work and potential features and uses of the silent sound technology.
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by using electromyography to detect tiny muscle movements involved in speech and processing images of a person's mouth and face. The technology was first conceptualized in a 1968 film and is now being developed to allow "lost calls" in noisy environments to be answered silently. Potential applications include helping mute people communicate, secretly transmitting PIN numbers, and covert military communications. The technology is expected to be incorporated into phones and improve as nanotechnology advances.
This document summarizes silent sound technology, which allows people to communicate over the phone without using their vocal cords. It works by using sensors on the face to detect tiny muscle movements involved in speech and converting them into electrical signals. These signals are then matched to pre-recorded speech patterns and transmitted as audio to the other caller. While promising for applications like space communication, the technology currently requires many sensors attached to the face and has difficulties with language translation. However, future improvements in areas like image recognition, nanotechnology and miniaturization could make silent sound interfaces more practical.
This document discusses silent sound technology, which allows people to have phone conversations without making any sounds. It works by using electromyography to detect the tiny muscle movements involved in speech and converting those signals into computer-generated audio that is transmitted to the other caller. The technology has applications for situations where sound needs to be muted, such as in meetings or for astronauts in space. However, it still faces limitations like needing electrodes attached to the face and having difficulties with tonal languages. Future improvements could make the electrodes portable and add lip-reading capabilities.
complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by detecting tiny muscular movements in the lips during speech using electromyography or image processing techniques. This information is then converted to electrical signals and transmitted as synthesized speech. The technology could help those who have lost their voice or have speech impediments to communicate over the phone or translate between languages. However, it faces restrictions for tonal languages and in differentiating between speakers.
Silent Sound Technology allows for communication without making audible sounds by interpreting silent speech or lip movements and converting them to computer-generated audio or text. It uses electromyography to monitor tiny muscle movements involved in speech and converts the electrical signals to audio. Image processing techniques like lip reading are also used to recognize words based on lip and facial expressions. While it has applications like helping those who lost their voice and enabling covert communication, current methods requiring sensors attached to the face make the technology impractical. Researchers are working to develop more portable and accurate systems to realize the full potential of silent communication.
This technology aims to analyze lip movements and convert them into computer-generated audio that can be transmitted over a phone. The idea of silent speech originated in 1968, and in 2010 the "Silent Sound Technology" was demonstrated at a large German trade fair. Developed by scientists in Germany, it uses electromyography sensors on the face to record electric signals from facial muscles and match them to pre-recorded speech patterns, allowing silent communication. This technology could help avoid embarrassing situations when phones ring in quiet places and allow for confidential or covert communication, with potential applications in translation and for people with disabilities or in the military.
Silent Sound Technology (SST) allows people to communicate without speaking aloud by monitoring tiny muscle movements in the face and mouth during speech. SST uses electromyography to detect electrical signals from articulator muscles and image processing of lip and facial movements to translate silent speech into text or synthesized audio output. The technology was first popularized in a 1968 film and has been investigated by NASA and researchers in Germany for applications such as communicating in noisy environments or for those who have lost their voice. Current limitations include the need for multiple sensors attached to the face and difficulties translating some languages like Chinese.
This document discusses silent sound technology, which allows people to speak over the phone without making audible sounds. It is being developed at the Karlsruhe Institute of Technology in Germany and works by detecting lip movements and converting the electrical signals from muscles into sound signals that are transmitted over the phone. The technology could help those who have lost their voice and allow private phone conversations without others overhearing. It is expected to be widely available within the next 10 years.
silent sound technology power point presentation new. technology to convert silent sound to speech with the help of electromyography and image processing . Helpful for people who lost their voice in some accident or helpful in military works for sharing confidential data . its being developed at KIT, Germany.
Silent Sound Technology is a new technology being developed that allows communication without making any sound. It works by using electromyography sensors to detect tiny muscle movements in the face when speaking, and converts those signals into electrical pulses that can be transformed into speech. It also uses image processing of lip movements to analyze the spoken words and transmit the audio to the other person on the call. This technology has potential applications for silent phone calls, helping those who have lost their voice, and secret military communications. However, it still faces challenges with translation, security, and practical usability due to the sensors currently needing to be attached to the face.
Sujit Kumar Das gave a presentation on silent sound technology. The technology allows for communication without using vocal cords by transforming lip movements into computer-generated sound. It was developed in Germany and works by measuring tiny muscle movements in the face with electrodes or cameras and converting them into electrical signals representing speech. While promising for private or covert communication, the technology currently requires many electrodes attached to the face and has difficulties with some languages. Further advances in areas like speech recognition, nano technology and fewer electrodes could lead to more practical applications in the future.
a technology created for those people who wish to talk but cannot actually talk, the technology is about TALKING WITHOUT TALKING. useful for those who lost their voice in any accident etc
This document summarizes a seminar presentation on silent sound technology for voice conversion. It introduces the technology as a way for those who have lost their voice to still communicate by phone by transmitting information without using vocal cords. It discusses two main methods - electromyography and image processing. Electromyography detects electrical signals from muscle movement and converts them to speech, while image processing uses ultrasound to view tongue movement. Some advantages are helping those who lost their voice and enabling silent calls. Disadvantages include unnatural speech and high cost. Future applications could include incorporating the sensors into phones for more natural use.
The document discusses silent sound technology, which allows for silent communication by analyzing muscle movements in the face and converting them to audible speech. It does this through electromyography and image processing. Electromyography monitors tiny muscle movements in the face when speaking and converts them to electrical signals that can be translated to speech. Image processing analyzes images of lip movements to identify sounds. The technology has applications for helping people who have lost their voice or allowing silent phone calls. It works by attaching sensors to the face to record muscle signals when speaking, which are matched to sound patterns to transmit speech without making noise.
1) Silent Sound Technology allows for communication without speaking by detecting lip movements and converting them to electrical signals that are then translated into sound signals.
2) It uses electromyography to monitor muscle movements in the face during speech and image processing of lip movements. The signals are then converted to speech.
3) Potential applications include silent communication in noisy places, aiding those who have lost their voice, and transmitting confidential information privately. However, it still faces restrictions related to accuracy and practical usability.
Silent sound technology SST has be introduced to put end to noise pollution and help the people that have lost their voice and cannot speak on mobile phone. This device is developed at Karlsruhe institute of technology and expected to be see in near feature. This device will notice the lip movement inform of electrical impulse and transfer it to sound speech that can be understood. It will be useful for people that want to make a silent call by just receiving the electrical impulse from lips movement and neglect all other surrounding noise and convert it to sound speech at the receiver ends. It can be used for languages like English, German and French but it cannot be used for language like Chinese because a different tone means different meaning. It will be useful for secrete calling because the caller don’t need to utter a word loudly just the lips movement. Silent sound technology (taking without talking) work base on two methods which are electromyography (EMG) and image processing.
The Silent sound technology is an amazing solution for those who had lost their voice but wish to communicate over the phone. This technology basically allows people to make calls without producing sounds.
This technology basically detect every lip movement and internally converts the electrical pulses into sounds signals and sends them neglecting all other surrounding noise. This report outlines the history associated with this technology presenting the method or techniques used in achieving silent sounds, which are electromyography and Image processing. This research reviews the underlined futures of the technology that immediately transforms into the language of the user's choice but, for the languages like Chinese different tones can hold many different meanings
The document is a presentation on silent sound technology. It discusses the need for the technology to allow silent phone calls, how it originated from a 1968 film, and how it works by using electromyography sensors to detect facial muscle movements and convert them to computer-generated speech. It also covers image processing techniques used and applications like helping astronauts communicate silently in space. Restrictions and future prospects of incorporating the sensors into phones are mentioned as well.
Silent Sound technology allows communication without using vocal cords by monitoring muscular and lip movements, transforming them into computer-generated sound, and transmitting the information as audio to a receiver. It uses sensors and techniques like electromyography and image processing. EMG detects electrical signals from facial muscle movements when speaking silently, which are converted into electrical pulses and then speech. Image processing analyzes remotely sensed data. This technology could benefit vocally impaired people and allow covert communication in situations requiring discretion.
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
The document discusses silent sound technology, which aims to transmit information without using vocal cords by noticing lip movements and transforming them into computer-generated sound. It was first conceptualized in a 2001 film and later developed by scientists in Germany in 2010. The technology uses sensors and electrodes to monitor muscle movements associated with speech and converts the signals into electrical pulses representing speech, allowing silent communication. It has potential applications for helping those who have lost their voice and enabling covert military communication.
This document discusses silent speech interface (SSI) technology which allows speech communication without vocalizing. It works by using electromyography to detect tiny muscle movements when speaking and converting them into electrical pulses for speech synthesis. Image processing is also used to convert lip movements into synthesized speech. The technology has applications for private communication in noisy environments and could help those without vocal cords. Further miniaturization of electrodes and improved image recognition would enhance the technology.
Silent Sound Technology allows for communication without speaking aloud by using electromyography (EMG) and image processing to detect lip movements and convert them into computer-generated audio that can be transmitted over phones. EMG sensors attached to the face monitor tiny muscle movements involved in speech and convert them into electrical signals matched to pre-recorded word patterns. Image processing of lip movements outputs audio as well. This technology could benefit those who have lost their voice but wish to speak on mobile devices, and allows for private calls in public places without others overhearing. While it may help some users, it also has disadvantages like unnatural sounding communication and high cost.
The document presents information on silent sound technology. It discusses how the technology allows for communication without using vocal cords by transforming lip movements into computer-generated sound. The technology was first demonstrated in 2010 in Germany and works by using electromyography to monitor muscle movements or image processing of lip movements. It has applications for private communication, aiding those who have lost their voice, or for astronauts. However, the technology also faces restrictions in some languages and needs improvements before electrodes can be incorporated into phones.
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by detecting tiny muscular movements in the lips during speech using electromyography or image processing techniques. This information is then converted to electrical signals and transmitted as synthesized speech. The technology could help those who have lost their voice or have speech impediments to communicate over the phone or translate between languages. However, it faces restrictions for tonal languages and in differentiating between speakers.
Silent Sound Technology allows for communication without making audible sounds by interpreting silent speech or lip movements and converting them to computer-generated audio or text. It uses electromyography to monitor tiny muscle movements involved in speech and converts the electrical signals to audio. Image processing techniques like lip reading are also used to recognize words based on lip and facial expressions. While it has applications like helping those who lost their voice and enabling covert communication, current methods requiring sensors attached to the face make the technology impractical. Researchers are working to develop more portable and accurate systems to realize the full potential of silent communication.
This technology aims to analyze lip movements and convert them into computer-generated audio that can be transmitted over a phone. The idea of silent speech originated in 1968, and in 2010 the "Silent Sound Technology" was demonstrated at a large German trade fair. Developed by scientists in Germany, it uses electromyography sensors on the face to record electric signals from facial muscles and match them to pre-recorded speech patterns, allowing silent communication. This technology could help avoid embarrassing situations when phones ring in quiet places and allow for confidential or covert communication, with potential applications in translation and for people with disabilities or in the military.
Silent Sound Technology (SST) allows people to communicate without speaking aloud by monitoring tiny muscle movements in the face and mouth during speech. SST uses electromyography to detect electrical signals from articulator muscles and image processing of lip and facial movements to translate silent speech into text or synthesized audio output. The technology was first popularized in a 1968 film and has been investigated by NASA and researchers in Germany for applications such as communicating in noisy environments or for those who have lost their voice. Current limitations include the need for multiple sensors attached to the face and difficulties translating some languages like Chinese.
This document discusses silent sound technology, which allows people to speak over the phone without making audible sounds. It is being developed at the Karlsruhe Institute of Technology in Germany and works by detecting lip movements and converting the electrical signals from muscles into sound signals that are transmitted over the phone. The technology could help those who have lost their voice and allow private phone conversations without others overhearing. It is expected to be widely available within the next 10 years.
silent sound technology power point presentation new. technology to convert silent sound to speech with the help of electromyography and image processing . Helpful for people who lost their voice in some accident or helpful in military works for sharing confidential data . its being developed at KIT, Germany.
Silent Sound Technology is a new technology being developed that allows communication without making any sound. It works by using electromyography sensors to detect tiny muscle movements in the face when speaking, and converts those signals into electrical pulses that can be transformed into speech. It also uses image processing of lip movements to analyze the spoken words and transmit the audio to the other person on the call. This technology has potential applications for silent phone calls, helping those who have lost their voice, and secret military communications. However, it still faces challenges with translation, security, and practical usability due to the sensors currently needing to be attached to the face.
Sujit Kumar Das gave a presentation on silent sound technology. The technology allows for communication without using vocal cords by transforming lip movements into computer-generated sound. It was developed in Germany and works by measuring tiny muscle movements in the face with electrodes or cameras and converting them into electrical signals representing speech. While promising for private or covert communication, the technology currently requires many electrodes attached to the face and has difficulties with some languages. Further advances in areas like speech recognition, nano technology and fewer electrodes could lead to more practical applications in the future.
a technology created for those people who wish to talk but cannot actually talk, the technology is about TALKING WITHOUT TALKING. useful for those who lost their voice in any accident etc
This document summarizes a seminar presentation on silent sound technology for voice conversion. It introduces the technology as a way for those who have lost their voice to still communicate by phone by transmitting information without using vocal cords. It discusses two main methods - electromyography and image processing. Electromyography detects electrical signals from muscle movement and converts them to speech, while image processing uses ultrasound to view tongue movement. Some advantages are helping those who lost their voice and enabling silent calls. Disadvantages include unnatural speech and high cost. Future applications could include incorporating the sensors into phones for more natural use.
The document discusses silent sound technology, which allows for silent communication by analyzing muscle movements in the face and converting them to audible speech. It does this through electromyography and image processing. Electromyography monitors tiny muscle movements in the face when speaking and converts them to electrical signals that can be translated to speech. Image processing analyzes images of lip movements to identify sounds. The technology has applications for helping people who have lost their voice or allowing silent phone calls. It works by attaching sensors to the face to record muscle signals when speaking, which are matched to sound patterns to transmit speech without making noise.
1) Silent Sound Technology allows for communication without speaking by detecting lip movements and converting them to electrical signals that are then translated into sound signals.
2) It uses electromyography to monitor muscle movements in the face during speech and image processing of lip movements. The signals are then converted to speech.
3) Potential applications include silent communication in noisy places, aiding those who have lost their voice, and transmitting confidential information privately. However, it still faces restrictions related to accuracy and practical usability.
Silent sound technology SST has be introduced to put end to noise pollution and help the people that have lost their voice and cannot speak on mobile phone. This device is developed at Karlsruhe institute of technology and expected to be see in near feature. This device will notice the lip movement inform of electrical impulse and transfer it to sound speech that can be understood. It will be useful for people that want to make a silent call by just receiving the electrical impulse from lips movement and neglect all other surrounding noise and convert it to sound speech at the receiver ends. It can be used for languages like English, German and French but it cannot be used for language like Chinese because a different tone means different meaning. It will be useful for secrete calling because the caller don’t need to utter a word loudly just the lips movement. Silent sound technology (taking without talking) work base on two methods which are electromyography (EMG) and image processing.
The Silent sound technology is an amazing solution for those who had lost their voice but wish to communicate over the phone. This technology basically allows people to make calls without producing sounds.
This technology basically detect every lip movement and internally converts the electrical pulses into sounds signals and sends them neglecting all other surrounding noise. This report outlines the history associated with this technology presenting the method or techniques used in achieving silent sounds, which are electromyography and Image processing. This research reviews the underlined futures of the technology that immediately transforms into the language of the user's choice but, for the languages like Chinese different tones can hold many different meanings
The document is a presentation on silent sound technology. It discusses the need for the technology to allow silent phone calls, how it originated from a 1968 film, and how it works by using electromyography sensors to detect facial muscle movements and convert them to computer-generated speech. It also covers image processing techniques used and applications like helping astronauts communicate silently in space. Restrictions and future prospects of incorporating the sensors into phones are mentioned as well.
Silent Sound technology allows communication without using vocal cords by monitoring muscular and lip movements, transforming them into computer-generated sound, and transmitting the information as audio to a receiver. It uses sensors and techniques like electromyography and image processing. EMG detects electrical signals from facial muscle movements when speaking silently, which are converted into electrical pulses and then speech. Image processing analyzes remotely sensed data. This technology could benefit vocally impaired people and allow covert communication in situations requiring discretion.
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
The document discusses silent sound technology, which aims to transmit information without using vocal cords by noticing lip movements and transforming them into computer-generated sound. It was first conceptualized in a 2001 film and later developed by scientists in Germany in 2010. The technology uses sensors and electrodes to monitor muscle movements associated with speech and converts the signals into electrical pulses representing speech, allowing silent communication. It has potential applications for helping those who have lost their voice and enabling covert military communication.
This document discusses silent speech interface (SSI) technology which allows speech communication without vocalizing. It works by using electromyography to detect tiny muscle movements when speaking and converting them into electrical pulses for speech synthesis. Image processing is also used to convert lip movements into synthesized speech. The technology has applications for private communication in noisy environments and could help those without vocal cords. Further miniaturization of electrodes and improved image recognition would enhance the technology.
Silent Sound Technology allows for communication without speaking aloud by using electromyography (EMG) and image processing to detect lip movements and convert them into computer-generated audio that can be transmitted over phones. EMG sensors attached to the face monitor tiny muscle movements involved in speech and convert them into electrical signals matched to pre-recorded word patterns. Image processing of lip movements outputs audio as well. This technology could benefit those who have lost their voice but wish to speak on mobile devices, and allows for private calls in public places without others overhearing. While it may help some users, it also has disadvantages like unnatural sounding communication and high cost.
The document presents information on silent sound technology. It discusses how the technology allows for communication without using vocal cords by transforming lip movements into computer-generated sound. The technology was first demonstrated in 2010 in Germany and works by using electromyography to monitor muscle movements or image processing of lip movements. It has applications for private communication, aiding those who have lost their voice, or for astronauts. However, the technology also faces restrictions in some languages and needs improvements before electrodes can be incorporated into phones.
Silent sound technology allows for the transmission of information without using vocal cords. It aims to detect lip movements and transform them into computer-generated sound that can be transmitted over a phone. This technology monitors tiny muscular movements during speech and converts them into electrical pulses that can then be turned into speech without any sound being uttered. Some potential applications include helping people who have lost their voice, covertly transmitting PIN numbers over the phone, and silent communication in military operations.
Silent sound technology allows for the transmission of information without using vocal cords. It works by monitoring tiny muscular movements in the lips and face that occur during speech and converting them into electrical signals that can then be transformed into computer-generated sound. Some key features include enabling silent phone calls and translating a speaker's silent utterances into another language for the receiver to hear. Applications include aiding those who have lost their voice and covert military communications. The technology represents an innovative trend that may become useful in everyday life as it continues to develop.
Silent sound technology allows for communication without using vocal cords by transforming lip movements into computer-generated sound. It was first popularized in 1968 and demonstrated in 2010. The technology uses electromyography to monitor tiny muscle movements, which are converted into electric signals. Image processing is also used. Applications include use by astronauts, in crowded places, and for those who have lost their voice or want confidential calls. However, the technology is difficult to apply to some languages and not yet practical for widespread use as it requires multiple electrodes attached to the face. Engineers claim it works with 99% efficiency.
This document discusses silent sound technology, which allows people to transmit voice information through their lip movements without actually speaking. It works by using electromyography to detect tiny muscle movements when speaking and converting them into electrical pulses and sound signals. Alternatively, it can use image processing of lip movements. The technology was developed in Germany and has applications for helping those who have lost their voice communicate over the phone without disturbing others. It also allows for silent phone calls even in public places and could be incorporated into future cell phones through improved sensors.
The document discusses silent sound technology, which allows people to transmit information over the phone without using their vocal cords. It works by detecting lip movements and converting them to electrical pulses that are then transformed into sound signals. This helps people who have lost their voice communicate via phone. The technology uses either electromyography to monitor muscle movements during speech or image processing of lip movements. While helpful for some, the technology is still in development and costly, with the goal of incorporating it directly into phones in the future.
Silent sound technology allows communication without vocalization by detecting electrical signals from facial muscle movements during speech. It has applications for people who have lost their voice or need to communicate quietly. The technology works by either electromyography, which detects electrical pulses from speech muscles, or image processing of lip movements. While it has benefits, current methods require many electrodes attached to the face and have difficulty with tone-based languages or conveying emotion. Future improvements could make devices handier and use lip-reading from video instead of electromyography.
silent sound technology final report(17321A0432) (1).pdfssuser476810
The document is a seminar report on silent sound technology submitted by Divya Alugubelli. It discusses the need for silent sound technology, which allows communication without noise pollution by detecting lip movements and converting them to sound signals. The report covers two main methods - electromyography and image processing. Electromyography monitors tiny muscle movements during speech and converts them to electrical pulses that can be translated to sound. Image processing techniques detect lip movements through a webcam and analyze the images. The technology has applications in helping those who have lost their voice and allows silent calling without disturbing others.
Silent sound technology allows communication without speaking aloud by interpreting tiny muscular movements involved in speech. It uses electromyography to monitor muscle signals or image processing of lip movements. Signals are converted to electrical pulses and synthesized speech. Applications include helping people who lost their voice, silent phone calls, and covert military communication. While innovative, silent sound technology has potential for secure communication without disturbing others.
This seminar submission discusses silent sound technology, which allows users to transmit speech without using their vocal cords. It was developed in Germany and works by detecting lip movements and converting them to electrical signals that are transmitted as sound. There are two main methods: electromyography, which uses sensors on the face to detect muscle signals, and image processing, which uses cameras and lip reading to analyze speech. The technology has advantages like allowing silent communication but is currently very expensive. It may have future applications for the military, astronauts, and others who have lost their voice.
A survey on Enhancements in Speech RecognitionIRJET Journal
This document discusses enhancements in speech recognition and provides an overview of the history and basic model of speech recognition. It summarizes key enhancements researchers have made to improve speech recognition, especially in noisy environments. The basic model of speech recognition involves speech input, preprocessing using techniques like MFCCs, classification models like RNNs and HMMs, and output of a transcript. Researchers are working to develop robust speech recognition that can understand speech in any environment.
This document describes a project to develop an accelerometer-based contact microphone system to enable voice communication in high noise environments. The system uses accelerometers placed on the head to capture vocal vibrations, a Teensy board to perform signal processing including fast Fourier transforms and filtering, and voice recognition software to match the vocal signals to text. The goal is to filter out background noise so voices can be clearly understood. Potential applications include military, industrial, firefighting and other fields where loud noise makes communication difficult. The system was tested in various noisy conditions and showed effectiveness in distinguishing voices from background noise.
The document discusses multimedia components and their characteristics. It defines multimedia as the integration of multiple media forms, including text, graphics, audio, video, and more. The basic elements of multimedia are described as text, images, audio, video, and animation. Digital image representation and processing are also covered, including how images are formed, 1-bit and 8-bit images, and color images. Color images can be represented with 24-bit RGB values or 8-bit color indices mapped to a color lookup table.
This presentation was delivered to a "Web Enabled Business" class at Simon Fraser University in Vancouver. The topic is speech recognition technology, and the presentation covers its origins, how it works, issues, latest trends and future opportunities.
This document outlines Koichi Shinoda's background and research interests in multimedia information processing, including statistical speech recognition and video information retrieval. It provides an overview of his educational background, work experience developing speech recognition systems at NEC Corporation, and current research areas focusing on statistical pattern recognition applied to speech and video data. Key topics covered include hidden Markov models, speaker adaptation techniques, video scene extraction, and multimodal interfaces.
This document presents information on silent sound technology. It discusses how the technology was developed at the Karlsruhe Institute of Technology in Germany to detect lip movements and convert them into sound signals without actual sounds. It works by using electromyography to measure facial muscle activity and image processing of lip movements. The technology allows for silent phone calls and could benefit those who have lost their voice or need to communicate quietly. Future applications include use in space and by the military, with continued research seeking to improve the technology.
This document summarizes silent sound technology, which allows people to communicate via phone calls without making audible sounds. It works by using sensors on the face to detect tiny muscle movements involved in speech and translating these into synthesized audio that can be understood by the receiver. While promising for applications like private calls or communication in loud environments, current methods still face limitations like needing many sensors attached to the face and having difficulties with tonal languages or conveying emotion. Researchers hope to address these issues by incorporating the sensors directly into phones and using image recognition of lip movements instead of electromyography.
The document discusses tools and techniques for developing e-content and multimedia. It describes different categories of tools for e-content development including freeware, open source software, and proprietary software. Specific tools are mentioned for editing audio, video, animation, and authoring e-content. The document also covers definitions of key terms, the stages of multimedia production including pre-production, production and post-production, and basic equipment used for recording e-content such as cameras, microphones, and storage devices.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Full-RAG: A modern architecture for hyper-personalizationZilliz
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HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Mind map of terminologies used in context of Generative AI
2014etc016
1. SILENT SOUND
TECHNOLOGY
….Silence is the best
answer for all the
situations …even your
mobile understands !By:Debi Prasad Ratha
2014 53 016
Department Of IMSc.E.T.C.
B.J.B. AUTONOMOUS COLLEGE
11 May
2017
1
3. Introduction
• The word Cell Phone has become greatest buzz word in
Cellular Communication industry.
• There are lots and lots of technology that tries to
reduce the Noise pollution and make the environment
a better place to live in.
• This presentation tells about a new technology known
as Silent Sound Technology that will put an end to
Noise pollution.
• This technology is being developed by scientists of
Karlsruhe Institute of Technology ( KIT ), Germany.
11 May
2017
3
5. Methods…
Silent Sound Technology is processed through
some ways or methods.
They are:
• Electromyograpy(EMG)
• Image Processing
11 May 2017
5
6. ELECTROMYOGRAPHY
• The Silent Sound Technology uses electromyography, monitoring
tiny muscular movements that occur when we speak.
• Monitored signals are converted into electrical pulses that can then
be turned into speech, without a sound uttered.
• It is a technique which monitors tiny muscular movements and
pulses generated by it . The transducers involved converts the
pulses into electric signals .
• Electromyography sensors attached to the face records the
electric signals produced by the facial muscles, compare them with
pre recorded signal pattern of spoken words .
• When there is a match that sound is transmitted on to the other
end of the line and person at the other end listen to the spoken
words.
11 May 2017
6
8. Image Processing
Image processing is any form of signal processing for which
the input is an image, such as a photograph or video frame;
the output of image processing may be either an image or a
set of characteristics or parameters related to the image. In
the silent sound technology the output of this image
processing is an audio record.
Analysis of remotely sensed data is done using various image
processing techniques and methods that includes:
• Analog image processing
• Digital image processing
11 May 201
8
9. Fig 1.Silent Sound Interface (SSI) using Image Processing
Ultrasound
probe
Camera
Speech
Silent/ laryngectomized speaker:
Silent
Vocoder
Lip Reader
10. Analog image Processing
• Analog processing techniques is applied to
hard copy data such as photographs or
printouts.
Digital image processing
• Digital Image Processing involves a collection
of techniques for the manipulation of digital
images by computers. It contain some flaws.
11 May 2017
10
11. Research
• "With all of the millions of phones in circulation, there is
great potential for increasing earnings by saving 'lost calls' -
telephone calls that go unanswered or uninitiated because
the user is in a situation in which he or she cannot speak -
not just in business meetings, but everyday situations.
• According to research, these 'lost calls' are worth $20
billion per year worldwide. For the cellular operator, these
are potential earnings that are currently being left on the
table. When these 'lost calls' become answerable, and can
be conducted without making a sound, there is a
tremendous potential for increased profits." Now the
research is going on technology that can be used in Office
Environment too.
11 May 2017
11
12. Applications
• As we know in space there is no medium for sound to travel
therefore this technology can be best utilised by astronauts.
• Helping people who have lost their voice due to illness or accident.
• We can make silent calls even if we are standing in a crowded
place.
• Telling a trusted friend your PIN number over the phone without
anyone eavesdropping — assuming no lip-readers are around.
• Silent Sound Techniques is applied in Military for communicating
secret/confidential matters to others.
• Since the electrical signals are universal they can be translated into
any language. Native speakers can translate it before sending it to
the other side. Hence it can be converted into any language of
choice currently being German, English & French.
11 May 2017
12
13. CONCLUSION
• Silent Sound Technology, one of the recent
trends in the field of Information technology
implements
• Engineers claim that the device is working with
99 percent efficiency.
• It will be one of the innovative and useful
technology and in mere future this technology
will be of use in day to day life.
11 May 2017
13