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 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 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.
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
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
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
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
Artificial Intelligence is being supplanted by "Artificial Brain," i.e. neuromorphic technologies. Yet there still a whopping gap that neuromorphic systems need to close before they will become a match for successful AI applications.
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
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
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
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
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
Artificial Intelligence is being supplanted by "Artificial Brain," i.e. neuromorphic technologies. Yet there still a whopping gap that neuromorphic systems need to close before they will become a match for successful AI applications.
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 primary goal of this paper is to provide an overview of existing Text-To-Speech (TTS) Techniques by highlighting its usage and advantage. First Generation Techniques includes Formant Synthesis and Articulatory Synthesis. Formant Synthesis works by using individually controllable formant filters, which can be set to produce accurate estimations of the vocal-track transfer function. Articulatory Synthesis produces speech by direct modeling of Human articulator behavior. Second Generation Techniques incorporates Concatenative synthesis and Sinusoidal synthesis. Concatenative synthesis generates speech output by concatenating the segments of recorded speech. Generally, Concatenative synthesis generates the natural sounding synthesized speech. Sinusoidal Synthesis use a harmonic model and decompose each frame into a set of harmonics of an estimated fundamental frequency. The model parameters are the amplitudes and periods of the harmonics. With these, the value of the fundamental can be changed while keeping the same basic spectral..In adding, Third Generation includes Hidden Markov Model (HMM) and Unit Selection Synthesis.HMM trains the parameter module and produce high quality Speech. Finally, Unit Selection operates by selecting the best sequence of units from a large speech database which matches the specification.
Speech recognition converts spoken words to text. The term "speech recognition" is used to refer to recognition systems that must be trained to any speaker—as is the case for most desktop recognition software.
In recent years, unspoken words recognition has
received substantial attention from both the scientific research
communities and the society of multimedia information access
networks. Major advancements and wide range of applications
in aids for the speech handicapped, speech pathology research,
telecom privacy issues, cursor based text to speech, firefighters
wearing pressurized suits with self contained breathing
apparatus (SCBA), astronauts performing operations in
pressurized gear, as a part of communication system operating
in high background noise have propelled words recognition
technology into the spotlight. Though early words recognition
techniques used simple maximum likelihood algorithms only
but the recognition process has now graduated into a science
of mathematical representations and comparison processes.
This survey paper provides an up-to-date review of the existing
approaches and offers some insights into the study of unspoken
words recognition. A number of typical techniques and EMG
based approaches are discussed in this paper. Furthermore, a
discussion outlining the incentives for using recognition
techniques, the applications of this technology, and some of
the difficulties plaguing the current systems with regard to
this topic have also been provided.
Speech Analysis and synthesis using VocoderIJTET Journal
Abstract— In this paper, I proposed a speech analysis and synthesis using a vocoder. Voice conversion systems do not create new speech signals, but just transform existing one. The proposed speech vocoding is different from speech coding. To analyze the speech signal and represent it with less number of bits, so that bandwidth efficiency can be increased. The Synthesis of speech signal from the received bits of information. In this paper three aspects of analysis have been discussed: pitch refinement, spectral envelope estimation and maximum voiced frequency estimation. A Quasi-harmonic analysis model can be used to implement a pitch refinement algorithm which improves the accuracy of the spectral estimation. Harmonic plus noise model to reconstruct the speech signal from parameter. Finally to achieve the highest possible resynthesis quality using the lowest possible number of bits to transmit the speech signal. Future work aims at incorporating the phase information into the analysis and modeling process and also synthesis these three aspects in different pitch period.
This paper describe the morphing concept in which we convert the voice of any person into pre -analyzed or pre-recorded voice of any animals.As the user generate a pre-established voice, his pitch, timbre, vibrato and articulation can be modified to resemble those of a pre-recorded and pre-analyzed voice of animal. This technique is based on SMS. Thus using this concept we can develop many funny application and we can used this type of application in mobile device, personal computer etc. for enjoying the sometime of period.
An Introduction to Various Features of Speech SignalSpeech featuresSivaranjan Goswami
An overview of various temporal, spectral and cepstral features of speech signal used in digital speech processing.
For more tutorials visit:
https://sites.google.com/site/enggprojectece
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speec
Vocal Translation For Muteness People Using Speech SynthesizerIJESM JOURNAL
The research perform has enabled a mute man can speak without surgery. An electrode placed on the neck to get the vibration from blabbering voice of the person and also implement the special speech synthesizer for producing him vowels. It possible for the disable person to produce vowels by thinking of them, using a speech synthesizer. In the future, this breakthrough may help erase the word of speech disability.
Vocal Translation For Muteness People Using Speech SynthesizerIJESM JOURNAL
The research perform has enabled a mute man can speak without surgery. An electrode placed on the neck to get the vibration from blabbering voice of the person and also implement the special speech synthesizer for producing him vowels. It possible for the disable person to produce vowels by thinking of them, using a speech synthesizer. In the future, this breakthrough may help erase the word of speech disability.
How to Create Map Views in the Odoo 17 ERPCeline George
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We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
1. SEMINAR BY: GUIDED BY:
JEEVITHA R Ms VIDYA S BENNUR
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2. CONTENTS
•Introduction
•What is speech?
•Sources of information
•Brain computer interface (BCI)
•Speech synthesis
•speech synthesis technologies
•Block diagram
•Features
• Methods of producing
Electromyography
Image processing
• Applications
•In fiction
•Reference
3. •You are in a theatre or a noisy restaurant or a bus etc., where there is lot of
noise around is a big issue while talking on a mobile phone. But in future this
problem is eliminated with “silent sound technology”, a new technology
unveiled at the CeBIT fare. It transforms lip movements into a computer
generated voice for the listener at the other end of the listener
• Silent speech is a device that allows speech communication without using
the sound made when people vocalize their speech sounds. As such it is a
type of electronic lip reader. It works by computer identifying phonemes that
an individual pronounces from non auditory sources of information about
their speech movements. These are then used to recreate the speech using
speech synthesis
4. •The device uses electromyography, monitoring tiny muscular movements
that occur when we speak and converting them into electrical pulses that
can be turned into speech without a sound uttered. It also uses image
processing technique that converts digital data into a film image with
minimal corrections and calibration.
5. Speech is the vocalized form of human communication. It is based upon the
syntactic combination of lexical and names that are drawn from very large
(usually to about 10,000 different words) vocabularies.
A gestural form of human communication exists for the deaf in the form of
sign language. Speech in some cultures has become the basis of a written
language, often one that differs in its vocabulary, syntax and phonetics from its
associated spoken one, a situation called diglossia
7. The vocal tract is the cavity in human beings and in
animals where sound that is produced at the sound source (larynx in mammals;
syrinx in birds) is filtered.
8. Bone conduction is the conduction of sound to the inner ear through the bones
of the skull.
Some hearing aids employ bone conduction, achieving an effect equivalent to
hearing directly by means of the ears. A headset is ergonomically positioned on the
temple and cheek and the electromechanical transducer, which converts electric
signals into mechanical vibrations, sends sound to the internal ear through the
cranial bones. Likewise, a microphone can be used to record spoken sounds via
bone conduction. The first description, in 1923, of a bone conduction hearing aid
was Hugo Gernsback’s "Osophone", which he later elaborated on with his
"Phonosone".
9. Categories:
•Ordinary products
•Hearing aids
•Specialized communication products
Advantages:
Ears free
High sound clarity in very noisy environment
Can have a perception of stereo sound
Disadvantages:
Some implementations require more power than headphones.
Less clear recording and playback than headphones.
10. A brain computer interface is often called as mind machine interface(MMI)or
sometimes called direct neural interface is a direct communication pathway
between the brain and an external device
The field of BCI research and development has since focused primarily on
neuroprosthetics applications that aim at restoring damaged hearing, sight and
movement. Thanks to the remarkable cortical plasticity of the brain, signals from
implanted prostheses can, after adaptation, be handled by the brain like natural
sensor or effecter channels. Following years of animal experimentation, the first
neuroprosthetic devices implanted in humans appeared in the mid- 90s
11. Speech synthesis is the artificial production of human speech. A
computer system used for this purpose is called a speech
synthesizer, and can be implemented in software or hardware.
Synthesized speech can be created by concatenating pieces of
recorded speech that are stored in a database. Systems differ in the
size of the stored speech units; a system that stores phones or
di phones provides the largest output range, but may lack clarity.
12. Speech synthesizing process:
The quality of a speech synthesizer is judged by its it’s similarity to the human
voice and by its ability to be understood. An intelligible text-to-speech program
allows people with visual impairments or reading disabilities to listen to written
works on a home computer. Many computer operating systems have included
speech synthesizers since the early 1980’s.
13. The most important qualities of speech synthesis system are naturalness and
intelligibility . Naturalness describes how closely the output sounds like human
speech, while intelligibility is the ease with which the output is understood.
There are 8 types of Synthesizing technologies such that they are :
a) Concatenative synthesis
b) Unit selection synthesis
c) Di phone synthesis
d) Domain-specific synthesis
e) Formant synthesis
f) Articulatory synthesis
g) HMM-based synthesis
h) Sine wave synthesis
14. CONCATENATIVE SYNTHESIS:
Concatenative synthesis is based on the concatenation (or stringing
together) of segments of recorded speech. Generally, Concatenative synthesis
produces the most natural-sounding synthesized speech.
UNIT SELECTION SYNTHESIS:
Unit selection synthesis uses large databases of recorded speech. During
database creation, each recorded utterance is segmented into some or all of the
following: individual phones, di phones, half-
phones, syllables, morphemes, words, phrases, and sentences.
DI PHONE SYNTHESIS:
Di phone synthesis uses a minimal speech database containing all the di
phones(sound-to-sound transitions) occurring in a language. The number of di
phones depends on the phonotactics of the language: for example, Spanish has
about 800 di phones and German about 2500. In di phone synthesis, only one
example of each di phone is contained in the speech database.
15. Domain specific synthesis:
Domain-specific synthesis concatenates prerecorded words and
phrases to create complete utterances. It is used in applications where the
variety of texts the system will output is limited to a particular domain, like
transit schedule announcements or weather reports.
Format synthesis:
Format synthesis does not use human speech samples at runtime.
Instead the synthesized speech output is created using additive synthesis
and an acoustic model (physical modeling synthesis). Parameters such as
fundamental frequency, voicing, and noise levels are varied over time to
create a waveform of artificial speech. This method is sometimes called
rules-based synthesis
16. ARTICULATORY SYNTHESIS:
Articulatory synthesis refers to computational techniques for
synthesizing speech based on models of the human vocal tract and the
articulation processes occurring there. Until recently, articulatory synthesis
models have not been incorporated into commercial speech synthesis
systems.
HMM BASED SYNTHESIS:
HMM-based synthesis is a synthesis method based on hidden Markov
models, also called Statistical Parametric Synthesis. In this system, the
frequency spectrum (vocal tract), fundamental frequency (vocal
source), and duration (prosody) of speech are modeled simultaneously by
HMMs. Speech waveforms are generated from HMMs themselves based on
the maximum likelihood criterion.
17. SINE WAVE SYNTHESIS:
Sine wave synthesis is a technique for synthesizing
speech by replacing the formants (main bands of energy) with
pure tone whistles.
19. FEATURES:
AUDIO SPOTLIGHT:
The Audio Spotlight transmitters generate a column of sound between
three and five degrees wider than the transmitter. It converts ordinary
audio into high-frequency ultrasonic signals that are outside the range of
normal hearing. As these sound waves push out from the source, they
interact with air pressure to create audible sounds.
Sound field distribution is shown with equal loudness contours for a
standard 1 KHz tone. The center area is louder at 100% amplitude, while
the sound level just outside the illustrated beam area is less than 10%.
Audio spotlight systems are much sensitive to listener distance than
traditional loudspeakers, but maximum performance is attained at roughly
1-2m (3-6feet) from the listener.
Typical levels are 80dB SPL at 1 KHz for As-16 and 85dB SPL for AS-24
models. The larger AS-24 can output about twice the power and twice low
frequency range.
20. This simulation is fixed for fixed source size(0.4m/16”) with varying wavelength.
From the statements above, we expect to see an unidirectional response for a large
wavelength relative to source, and higher directivity as wavelength decreases.
22. ELECTROMYOGRAPHY:
It is a technique for evaluating and recording the electrical activity
produced by skeletal muscles. EMG is performed using an instrument
called an electromyography, to produce a record called an
electromyogram. An electromyography detects the electrical potential
generated by muscle cells when these cells are electrically or
neurologically activated.
23. Electromyographic 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.
24. For such an interface ,we should use 4 kinds of TRANSDUCERS . They are as
follows :-
1.Vibration sensors
2.Pressure sensor
3.Electromagnetic sensor
4.Motion sensor
IMAGE POCESSING:
•The simplest form of image processing converts the data tape into a film image
with minimal corrections and calibrations.
25. Digital data
Pre processing
Feature extraction
Image enhancement Selection of training
data
Manual interpretation
Decision and classification Ancillary data
Supervised Unsupervised
Classification output
Post processing operation
Assess memory
Maps and imageries Reports Data
26. As we know in space there is no medium for sound to travel therefore this
technology can be best utilized by astronauts.
We can make silent calls even if we are standing in a crowded place.
This technology is helpful for people without vocal cord or those who are
suffering from Aphasia (speaking disorder ).
This technology can be used for communication In nasty environment.
To tell a secret PIN no. , or credit card no. on the phone now be easy as there is
no one eavesdrop anymore.
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.
27. Translation into majority of languages but for languages such as Chinese
different tone holds different meaning, facial movements being the same. Hence
this technology is difficult to apply in such situations.
From security point of view recognizing who you are talking to gets complicated.
Even differentiating between people and emotions cannot be done. This means
you will always feel you are talking to a robot.
This device presently needs nine leads to be attached to our face which is quite
impractical to make it usable.
28. Silent sound technology gives way to a bright future to speech recognition
technology from simple voice commands to memorandum dictated over the phone
all this is fairly possible in noisy public places.
Without having electrodes hanging all around your face, these electrodes will be
• It may have features like lip reading based on image recognition & processing
rather than electromyography.
• Nano technology will be a mentionable step towards making the device handy.
29. Engineers claim that the device is working with 99 percent efficiency.
It is difficult to compare SSI technologies directly in a meaningful way. Since many
of the systems are still preliminary, it would not make sense, for example, to
compare speech recognition scores or synthesis quality at this stage.
With a few abstractions, however, it is possible to shed light on the range of
applicability and the potential for future commercialization of the different
methods.