Submit Search
Upload
Voice Recognition Based Automation System for Medical Applications and for Physically Challenged Patients
•
0 likes
•
23 views
IRJET Journal
Follow
https://irjet.net/archives/V4/i3/IRJET-V4I3528.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
[IJET-V1I6P21] Authors : Easwari.N , Ponmuthuramalingam.P
[IJET-V1I6P21] Authors : Easwari.N , Ponmuthuramalingam.P
IJET - International Journal of Engineering and Techniques
Utterance based speaker identification
Utterance based speaker identification
IJCSEA Journal
Presentation on DSP-Research Areas- National Conference in VLSI & Communi...
Presentation on DSP-Research Areas- National Conference in VLSI & Communi...
Dr. Shivananda Koteshwar
Utterance Based Speaker Identification Using ANN
Utterance Based Speaker Identification Using ANN
IJCSEA Journal
Utterance Based Speaker Identification Using ANN
Utterance Based Speaker Identification Using ANN
IJCSEA Journal
Speaker recognition on matlab
Speaker recognition on matlab
Arcanjo Salazaku
Survey on Different Methods of Digital Audio Watermarking
Survey on Different Methods of Digital Audio Watermarking
IJERA Editor
Volume 2-issue-6-2186-2189
Volume 2-issue-6-2186-2189
Editor IJARCET
Recommended
[IJET-V1I6P21] Authors : Easwari.N , Ponmuthuramalingam.P
[IJET-V1I6P21] Authors : Easwari.N , Ponmuthuramalingam.P
IJET - International Journal of Engineering and Techniques
Utterance based speaker identification
Utterance based speaker identification
IJCSEA Journal
Presentation on DSP-Research Areas- National Conference in VLSI & Communi...
Presentation on DSP-Research Areas- National Conference in VLSI & Communi...
Dr. Shivananda Koteshwar
Utterance Based Speaker Identification Using ANN
Utterance Based Speaker Identification Using ANN
IJCSEA Journal
Utterance Based Speaker Identification Using ANN
Utterance Based Speaker Identification Using ANN
IJCSEA Journal
Speaker recognition on matlab
Speaker recognition on matlab
Arcanjo Salazaku
Survey on Different Methods of Digital Audio Watermarking
Survey on Different Methods of Digital Audio Watermarking
IJERA Editor
Volume 2-issue-6-2186-2189
Volume 2-issue-6-2186-2189
Editor IJARCET
Automatic speech recognition system
Automatic speech recognition system
Alok Tiwari
Speech recognition
Speech recognition
Charu Joshi
50120140502007
50120140502007
IAEME Publication
AUTOMATIC SPEECH RECOGNITION- A SURVEY
AUTOMATIC SPEECH RECOGNITION- A SURVEY
IJCERT
An Introduction To Speech Recognition
An Introduction To Speech Recognition
Department of Telecommunications, Ministry of Communication & IT (INDIA)
Analysis of Suitable Extraction Methods and Classifiers For Speaker Identific...
Analysis of Suitable Extraction Methods and Classifiers For Speaker Identific...
IRJET Journal
Dy36749754
Dy36749754
IJERA Editor
Real Time Character Recognition on FPGA for Braille Devices
Real Time Character Recognition on FPGA for Braille Devices
IRJET Journal
Speech Recognition Technology
Speech Recognition Technology
SrijanKumar18
Speech Recognition
Speech Recognition
Ahmed Moawad
Voice Identification And Recognition System, Matlab
Voice Identification And Recognition System, Matlab
Sohaib Tallat
Speech Signal Analysis
Speech Signal Analysis
Pradeep Reddy Guvvala
Mini Project- Audio Enhancement
Mini Project- Audio Enhancement
University of Hertfordshire, School of Electronic Communications and Electrical Engineering
A GAUSSIAN MIXTURE MODEL BASED SPEECH RECOGNITION SYSTEM USING MATLAB
A GAUSSIAN MIXTURE MODEL BASED SPEECH RECOGNITION SYSTEM USING MATLAB
sipij
Speech Recognized Automation System Using Speaker Identification through Wire...
Speech Recognized Automation System Using Speaker Identification through Wire...
IOSR Journals
52 57
52 57
Ijarcsee Journal
Av4103298302
Av4103298302
IJERA Editor
Performance enhancement of dct based speaker recognition using wavelet de noi...
Performance enhancement of dct based speaker recognition using wavelet de noi...
eSAT Journals
A survey on Enhancements in Speech Recognition
A survey on Enhancements in Speech Recognition
IRJET Journal
IRJET- Voice Command Execution with Speech Recognition and Synthesizer
IRJET- Voice Command Execution with Speech Recognition and Synthesizer
IRJET Journal
Iaetsd artificial intelligence
Iaetsd artificial intelligence
Iaetsd Iaetsd
A review of Noise Suppression Technology for Real-Time Speech Enhancement
A review of Noise Suppression Technology for Real-Time Speech Enhancement
IRJET Journal
More Related Content
What's hot
Automatic speech recognition system
Automatic speech recognition system
Alok Tiwari
Speech recognition
Speech recognition
Charu Joshi
50120140502007
50120140502007
IAEME Publication
AUTOMATIC SPEECH RECOGNITION- A SURVEY
AUTOMATIC SPEECH RECOGNITION- A SURVEY
IJCERT
An Introduction To Speech Recognition
An Introduction To Speech Recognition
Department of Telecommunications, Ministry of Communication & IT (INDIA)
Analysis of Suitable Extraction Methods and Classifiers For Speaker Identific...
Analysis of Suitable Extraction Methods and Classifiers For Speaker Identific...
IRJET Journal
Dy36749754
Dy36749754
IJERA Editor
Real Time Character Recognition on FPGA for Braille Devices
Real Time Character Recognition on FPGA for Braille Devices
IRJET Journal
Speech Recognition Technology
Speech Recognition Technology
SrijanKumar18
Speech Recognition
Speech Recognition
Ahmed Moawad
Voice Identification And Recognition System, Matlab
Voice Identification And Recognition System, Matlab
Sohaib Tallat
Speech Signal Analysis
Speech Signal Analysis
Pradeep Reddy Guvvala
Mini Project- Audio Enhancement
Mini Project- Audio Enhancement
University of Hertfordshire, School of Electronic Communications and Electrical Engineering
A GAUSSIAN MIXTURE MODEL BASED SPEECH RECOGNITION SYSTEM USING MATLAB
A GAUSSIAN MIXTURE MODEL BASED SPEECH RECOGNITION SYSTEM USING MATLAB
sipij
Speech Recognized Automation System Using Speaker Identification through Wire...
Speech Recognized Automation System Using Speaker Identification through Wire...
IOSR Journals
52 57
52 57
Ijarcsee Journal
Av4103298302
Av4103298302
IJERA Editor
Performance enhancement of dct based speaker recognition using wavelet de noi...
Performance enhancement of dct based speaker recognition using wavelet de noi...
eSAT Journals
What's hot
(18)
Automatic speech recognition system
Automatic speech recognition system
Speech recognition
Speech recognition
50120140502007
50120140502007
AUTOMATIC SPEECH RECOGNITION- A SURVEY
AUTOMATIC SPEECH RECOGNITION- A SURVEY
An Introduction To Speech Recognition
An Introduction To Speech Recognition
Analysis of Suitable Extraction Methods and Classifiers For Speaker Identific...
Analysis of Suitable Extraction Methods and Classifiers For Speaker Identific...
Dy36749754
Dy36749754
Real Time Character Recognition on FPGA for Braille Devices
Real Time Character Recognition on FPGA for Braille Devices
Speech Recognition Technology
Speech Recognition Technology
Speech Recognition
Speech Recognition
Voice Identification And Recognition System, Matlab
Voice Identification And Recognition System, Matlab
Speech Signal Analysis
Speech Signal Analysis
Mini Project- Audio Enhancement
Mini Project- Audio Enhancement
A GAUSSIAN MIXTURE MODEL BASED SPEECH RECOGNITION SYSTEM USING MATLAB
A GAUSSIAN MIXTURE MODEL BASED SPEECH RECOGNITION SYSTEM USING MATLAB
Speech Recognized Automation System Using Speaker Identification through Wire...
Speech Recognized Automation System Using Speaker Identification through Wire...
52 57
52 57
Av4103298302
Av4103298302
Performance enhancement of dct based speaker recognition using wavelet de noi...
Performance enhancement of dct based speaker recognition using wavelet de noi...
Similar to Voice Recognition Based Automation System for Medical Applications and for Physically Challenged Patients
A survey on Enhancements in Speech Recognition
A survey on Enhancements in Speech Recognition
IRJET Journal
IRJET- Voice Command Execution with Speech Recognition and Synthesizer
IRJET- Voice Command Execution with Speech Recognition and Synthesizer
IRJET Journal
Iaetsd artificial intelligence
Iaetsd artificial intelligence
Iaetsd Iaetsd
A review of Noise Suppression Technology for Real-Time Speech Enhancement
A review of Noise Suppression Technology for Real-Time Speech Enhancement
IRJET Journal
Speech Recognized Automation System Using Speaker Identification through Wire...
Speech Recognized Automation System Using Speaker Identification through Wire...
IOSR Journals
A Review On Speech Feature Techniques And Classification Techniques
A Review On Speech Feature Techniques And Classification Techniques
Nicole Heredia
An Evaluation Of Lms Based Adaptive Filtering
An Evaluation Of Lms Based Adaptive Filtering
Renee Wardowski
IRJET- Emotion recognition using Speech Signal: A Review
IRJET- Emotion recognition using Speech Signal: A Review
IRJET Journal
Ijetcas14 426
Ijetcas14 426
Iasir Journals
Robust Speech Recognition Technique using Mat lab
Robust Speech Recognition Technique using Mat lab
IRJET Journal
Artificial Intelligence- An Introduction
Artificial Intelligence- An Introduction
acemindia
Artificial Intelligence - An Introduction
Artificial Intelligence - An Introduction
acemindia
Financial Transactions in ATM Machines using Speech Signals
Financial Transactions in ATM Machines using Speech Signals
IJERA Editor
IOT BASED VIBRATION VEST FOR DEAF PEOPLE
IOT BASED VIBRATION VEST FOR DEAF PEOPLE
IRJET Journal
GENDER RECOGNITION SYSTEM USING SPEECH SIGNAL
GENDER RECOGNITION SYSTEM USING SPEECH SIGNAL
IJCSEIT Journal
Speaker Identification & Verification Using MFCC & SVM
Speaker Identification & Verification Using MFCC & SVM
IRJET Journal
IRJET - Threat Prediction using Speech Analysis
IRJET - Threat Prediction using Speech Analysis
IRJET Journal
K010416167
K010416167
IOSR Journals
IRJET - Audio Emotion Analysis
IRJET - Audio Emotion Analysis
IRJET Journal
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
IRJET Journal
Similar to Voice Recognition Based Automation System for Medical Applications and for Physically Challenged Patients
(20)
A survey on Enhancements in Speech Recognition
A survey on Enhancements in Speech Recognition
IRJET- Voice Command Execution with Speech Recognition and Synthesizer
IRJET- Voice Command Execution with Speech Recognition and Synthesizer
Iaetsd artificial intelligence
Iaetsd artificial intelligence
A review of Noise Suppression Technology for Real-Time Speech Enhancement
A review of Noise Suppression Technology for Real-Time Speech Enhancement
Speech Recognized Automation System Using Speaker Identification through Wire...
Speech Recognized Automation System Using Speaker Identification through Wire...
A Review On Speech Feature Techniques And Classification Techniques
A Review On Speech Feature Techniques And Classification Techniques
An Evaluation Of Lms Based Adaptive Filtering
An Evaluation Of Lms Based Adaptive Filtering
IRJET- Emotion recognition using Speech Signal: A Review
IRJET- Emotion recognition using Speech Signal: A Review
Ijetcas14 426
Ijetcas14 426
Robust Speech Recognition Technique using Mat lab
Robust Speech Recognition Technique using Mat lab
Artificial Intelligence- An Introduction
Artificial Intelligence- An Introduction
Artificial Intelligence - An Introduction
Artificial Intelligence - An Introduction
Financial Transactions in ATM Machines using Speech Signals
Financial Transactions in ATM Machines using Speech Signals
IOT BASED VIBRATION VEST FOR DEAF PEOPLE
IOT BASED VIBRATION VEST FOR DEAF PEOPLE
GENDER RECOGNITION SYSTEM USING SPEECH SIGNAL
GENDER RECOGNITION SYSTEM USING SPEECH SIGNAL
Speaker Identification & Verification Using MFCC & SVM
Speaker Identification & Verification Using MFCC & SVM
IRJET - Threat Prediction using Speech Analysis
IRJET - Threat Prediction using Speech Analysis
K010416167
K010416167
IRJET - Audio Emotion Analysis
IRJET - Audio Emotion Analysis
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
959SahilShah
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
eptoze12
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
DeelipZope
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
Mark Billinghurst
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
Asst.prof M.Gokilavani
Past, Present and Future of Generative AI
Past, Present and Future of Generative AI
abhishek36461
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
wendy cai
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ
Introduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptx
vipinkmenon1
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
hassan khalil
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Suhani Kapoor
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
microprocessor 8085 and its interfacing
microprocessor 8085 and its interfacing
jaychoudhary37
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Soham Mondal
Recently uploaded
(20)
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
Past, Present and Future of Generative AI
Past, Present and Future of Generative AI
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
Introduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptx
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
microprocessor 8085 and its interfacing
microprocessor 8085 and its interfacing
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Voice Recognition Based Automation System for Medical Applications and for Physically Challenged Patients
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1976 Voice Recognition Based Automation System for Medical Applications and For Physically Challenged Patients Sanu Kumar Das1, Vitthal Rathod2, Akhilesh Yadav.B3 1Sanu Kumar Das, Dept. Of Electronics & Telecommunication, DYPCOE, Maharashtra, India 2Vitthal Rathod, Dept. Of Electronics & Telecommunication, DYPCOE, Maharashtra, India 3Akhilesh Yadav, Dept. Of Electronics & Telecommunication, DYPCOE, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Voice is the most effective way of communication among human being. This, way of communication, can also be a useful interface to interact with machines. Therefore the dependency of voice recognition system has increased greatly in recent year. There are different methods to speech recognition like Hidden Markov Model (HMM), Hybrid Hidden Markov Model (ANN), etc. This paper presents the prototype of voice recognition based automation system for the physically challenged people suffering from quadriplegia or paraplegia (who cannot move their body parts but can speak and listen) to control the various devices and can control the bed movement just by the voice commands according to his/her desire and comfort. The proposed model has a voice recognition model, Arduino uno microcontroller, relay circuit for LED & Buzzer and a motor for adjustable bed. The voice recognition model should be trained first & data should be stored before it can be used to recognize the commands. Once it recognized voice command the Arduino will control the respected load withthehelpofthe relay circuit. The adjustable bed can be operated at different modes as per the user’s requirement. The accuracy of voice recognition model is measured in different conditions. The results show the system can provide great help to the paralyzed people without any third person’s assistances. Key Words: Voice Recognition,ANN,AutomationSystem for Paralyzed People, Arduino Uno, Motor, Buzzer, LED. 1. INTRODUCTION Voice is the most effective and natural way to communicate. Human being also wants to have a similar natural, easy and effective way of communication with machines. Therefore they prefer voice as a media to interact with devices rather than using any other hectic interfaces like mouse and keyboards. But the voice is a complex phenomenon as the human vocal pitch and articulators, being the biological organs, are not under our control and not same every time. Voice Recognition or Automatic Speech Recognition (ASR) plays an important role in human being and machine interaction. Voice recognition uses differentmethodologyto recognize the word and to convert voice signals into the sequence of words bymeans ofanalgorithmimplemented as a computer program. Different techniques are used for this process, like LPC, MFCC along with ANN. Voice recognition systems are capable of understanding of different languages and different of words under functional environment. Voice signal provides two important types of information: [1] Content of Voice and [2] Identity of speaker. Voice recognition automation system can be a used for various applications.[1] It can be used for home automation[2] It can be used for paralyzed patients to control multiple devices.[3] It has also many applications like telephone directory assistance, automatic voice translation into foreign languages. 2. VOICE RECOGNITION PROCESS The process of voice recognition is complexanda hecticjob. The figure 1given below shows following steps involved in the process of voice recognition. 2.1 Voice Acquisition Voice is the effective form of human communication. In this process, the voice of the speaker is received in the form of waveform. There is lots of software available whichareused to record the voice of human being. In this we arestoringthe voice signal in the form of “.mat” The acoustic atmosphere and receiving equipment can have great effect on the voice generated. Sometime we have background noise or surrounding reverberation alongwiththevoicesignal which is unwanted and shouldn’t process further. 2.2 Voice Pre-processing In this step pre-processing block plays an important role in eliminating the unwanted signal. It finally improves the accuracy of voice recognition. The voice pre-processing normally includes filtering of noise, smoothing of signal, point to point detection, framing of signal, windowing of signal, & cancelling and removing of echo. It processed only original data further.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1977 Fig. 1 Block Diagram of Voice Recognition Based Automation System 2.3 Feature Extraction As we know that the voice differs from person-to-person. This is due to the fact that every person has different vocal cord which sounds differ. Theoretically, it is possible to recognize voice from the digitized waveform. But due to the large variation in voice signal, it is necessary to perform some feature extraction to reduce that variations and unwanted signal. There are different technologies are available for feature extraction, which are as follow. These technologies are also useful in other areas of voice processing 1. MFCC –Mel Frequency Cepstrum Coefficients (MFCC) is the most important method used in the process of feature extraction in voice recognition. As it has frequency domain features, therefore it’s more accurate than time domain features .It represents the original cepstral of windowed short time signal which is expressed from Fast Fourier Transform (FFT). These coefficients are robust and dependable for the variations of speaker and the environment where operation is performed. 2. LPC –Linear Predictive Coding (LPC) is a tool which is widely used for medium or low bit rate coder. In this method digital signal is compressed for propertransmission and storage. Computation of parametric model based on least mean squared error theory is known as linear prediction (LP). 2.4 Feature Classification The most common techniques which are used for feature classification are discussed below. This type of system has complex mathematical functions and they take out hidden information from the input signal. HMM – Hidden Markov Model. (HMM) is the mostly used pattern recognition technique for voice recognition. HMM is a mathematical model which is signalized on the Markov Model and has a set of output distribution. In HMM method, voice is break down into smaller audible parts and these parts represent the state in the Hidden Markov Model. And according to the probabilities of transmission, there is a transmission from one state to another. DTW –Dynamic Time Warping (DTW) technique compares the words with stored words. In this method, the time dimensions of the unknown words are changed until and unless they match with that of the stored word. VQ –Vector Quantization (VQ) is a method in which the mapping of vector is done from a large vector space in a specific number of regions in that space. Each region is known as cluster and it can be shown by its centre which is known as a code-word. Voice Acquisition Voice Pre- Processing Feature Extraction Feature Classifier Voice Recognition Arduino Controller Relay Driver Circuit LED Buzzer Bed Elevation Motor to Represent Wheel Chair
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1978 3. ARTIFICIAL NEURAL NETWORK FROM THE VIEWPOINT OF VOICE RECOGNITION 3.1 What is Artificial Neural Network? Artificial Neural Networks (ANN) is nothing but the structured electronic model which is based on neural structure of our brain. The human brain simply learns from the experiences. In the same way ANN trained the data and stored it for the next process. ANN is a computer model which hasthesamearchitecture of human brain. They generally involve hundreds of quite simple processing units which are wired together in a complex communication network. Each simple processing unit actually represents a real neuronwhichtransmitsa new signal if it receives a strong signal from otherconnectedunit. 3.2 Artificial Neuron Artificial Neurons are the basic unit of Artificial Neural Network which reproduces the four basic function of biological neuron performed by human being brain. It is a mathematical function which is based on model of natural neuron of human brain. The given below figure shows the basic artificial neuron. Fig. 2: Basic Artificial Neuron In The above figure, various inputs are shown by the mathematical symbol, i.e. i(n). Each inputs are multiplied by respected connecting weights w(n). Generally, these products are simply added and given to the transfer function to generate the desired results. The applications for example, text recognition and voice recognition are required to convert these real word inputs into discrete values. In the software system, these neurons are called as processing elements and it has many more capabilities than the basic artificial neuron which has described above. 4. SOFTWARE IMPLEMENTATION To design the system we have written code on MATLAB. MATLAB is a fourth-generation high-level programming language and it provides an interactive environment for numerical computation, visualization and programming. It provides matrix manipulations; plotting of functions and data; implementation of different algorithms; creation of user interfaces; it provides interfacing with programs which is written in other languages, including C, C++, Java, and FORTRAN. It analyzes the data; it develops the algorithms; and creates required models and applications. It has numerous inbuilt commands and mathematical functions that help user in mathematical calculations, and generating plots, it is also used for performing numerical methods. Fig 3. A Graph of Mel Frequency Cepstrum. 5. HARDWARE IMPLIMENTATION The hardware implementation of proposed system is explained below. 5.1 Microphone and Voice Recognition Module The microphone which is used to acquire voice signal and sends it to the voice recognition model is basically a collar type microphone with 3.5 mm jack. In this system we have used Elechouse voice recognition module v3 for the voice recognition process which has shown below in the Fig. The voice recognition module should be trained first and then it can be used to actually recognize the voice commands by speaker. The voice input from the microphone is fed to the voice recognition model and here theinputvoiceiscompared with the trained voice commands which are stored previously, and if it is matched with stored and traineddata thencontrol action will take place in control circuit.Thevoicerecognition model v3 can actually store up to 80 commands of 1400 to 1500ms each in its library and out of 80 commands only 7 commands can be used in recognizer for the process of recognition. Thus at a time only 7 commands are active and to add next 7 commands, it is necessary to clear the recognizer first. The selected model has two ways of controlling the Serial Port, General Input Pins and General Output Pins. It has a recognition accuracy of 99% under suitable conditions.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1979 Fig. 4.Voice Recognition Module v3 5.2 Arduino Uno Microcontroller The Microcontroller we are using for the proposed model is shown below in Fig. 5.TheArduinomicrocontrollerprovides an inexpensive, cheap, platform for students and professionals to create the devices that interact with respected environment using different types of sensors and actuators. Arduino microcontroller has integrated development environment (IDE) which easily runs on a PC and it allows user to write programs for microcontroller in C or C++ language, which is easy and robust language compare to other language. The Arduino microcontrollerboardbased on the AT mega 328. Following are the features of Arduino microcontroller. It has 14 digital input/output pins (Out of these 14 pins the 6 can be used as PWM outputs) and 6 is used for analog inputs. It operates on 5V D.C and it has a clock speed of 16 MHz It has Input Voltage (recommended) 7-12V It has DC Current per I/O Pin 40 mA It has flash Memory of 32 KB of which 0.5 KB used by Boot loader Fig. 5 Arduino Uno Microcontroller 5.3Buzzer In this model we are using buzzer as an indicator through which the respective person of the patient will come to the patient and check him, whenever buzzer makes sound. Ifthe patient needs any help then by voice command he orshe can turn on the buzzer for help. A buzzer or beeper is an audio signaling device, which may be mechanical, electromechanical, or piezoelectric. Fig. 6 5V Buzzer Module And Schematic Diagram. 5.3.1Testing Results. Below we have shown the testing result in which the output is the turning on and off of the buzzer every alternate second. The picture below shows the setup of our module and Arduino. Fig.7 Showing Testing Result 5.4 Relay Circuit To control the appliances generally relays are used with the Arduino microcontroller .The relays which we have used in the system are 5V-5 pin relay which is shown below in Fig. 8 Normally it remains in closed state. When the relay coils are energized the relay switches itself from normally closed state to normally open state due to the electromagnetic induction The normally open state (N.O) of relays are used in the automation system.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1980 Fig.8 2 Channel 5V 10A Relay Model And Schematic Diagram 5.5 12V, 5A Power Supply All electronic circuits work only on lowdc voltage.Therefore It needs a power supply unit which can provide the desired voltage supply. The power supply which is required for this automation system are 5V for the relay circuit module and 12V 5A for the motor for bed elevation. The requirement of 5V can be fulfilled from Arduino board itself, but for the 12V 5A supply we need additional power supply circuit. A Centre tap transformer of 15-0-15 V is used in this power supply. After that we use a bridge rectifier circuit which is used to converts the A.C to D.C. The D.C which we get after conversion is not ripple free, therefore two capacitor C1of 3300μF and C2=0.33 μF are used to remove ripple. To regulate the voltage for power supply LM338K Voltage regulator is used which gives regulated voltage of 12V and constant current of 5A. The capacitor C3 of 100μF is usedtoremovetheripplesfrom the output voltage and the diode D3 is used to protect the circuit when the capacitor C3 starts discharging. Fig. 9 given below shows the circuit diagram of the 12V, 5A power supply. Fig.9 Circuit Diagram of Power Supply 6. DC MOTOR. In this model we are using motor for bed elevation. We are using two motor which will elevate or down the bed according to the command. When the motor will run anti clockwise it will elevate the bed and whenthemotor will run clockwise the bed will be lowered. The motor which we are using here has following some feature. It has 12.0VDC,it has output speed of 200+ rotation per minute. The rotation output is CW/CCW. It is resistant to noise. 7. CONCLUSIONS ANN is one of the most reliable techniques for the future computation. The model shows that it can be very useful in voice signal classification.Itfunctionsmorelikehumanbrain than conventional computer logic. ANN has better voice recognition rates than MFC, but it is complex to train algorithm and it is dynamically sensitive, which may cause problems. The future of this technology is very great and the only thing which has to improve is hardware development as ANN need faster hardware. The voice recognition based automation system has built and implemented. The system is specificallydesignedfor the patient suffering from paralysis and alsofortheaged people. A wooden adjustable bed fitted with motor is which is very economic and affordable. The adjustable bed offers two elevation positions sleep position, and sitting position and according to patient’s comfort he or she may choose the desired positionbysimply saying it, which will act as voice commands for the system. The use of voice commands removes the necessityofremote controls and other electronic device and makes it simple to interact with the system to perform the function andcontrol the devices. Buzzer allows patient to notify the guardians whenever the patient is in need of help. The LED can be used for different purpose; it can be used to indicate multiple requirementsby patients.
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1981 8. REFERENCES [1].T.Kirankumar and B. Bhavani, “A Sustainable Automated System for Elderly People Using Voice Recognition and Touch Screen Technology,” International Journal of Science and Research (IJSR), vol. 2, pp. 265-267, August 2013. [2]. Rajesh Khanna Megalingam, Ramesh Nammily Nair, and Sai Manoj Prakhya, “Automated Voice based Home Navigation System for the Elderly and the Physically Challenged,” in International Conference on Advanced Communication Technology, Seoul, pp. 603-608, February 2011. [3]. Arthi.J.E and M.Jagadeeswari, “Control of Electrical Appliances through Voice Commands,” IOSR Journal of Electrical and Electronics Engineering, vol. 9, pp. 13-18, February 2014. [4].Parameshachari B D, Sawan KumarGopy,Gooneshwaree Hurry and Tulsirai T. Gopaul., “A Study on Smart Home Control System through Speech,” International Journal of Computer Applications, vol. 69,pp. 30-39, May 2013. [5]. Norhafizah bt Aripin and M. B. Othman, “VoiceControl of Home Appliances using Android,” in International Conference on Electric Power, Electronic, Communication, Control, And Informatic Systems, Malang ,pp. 142-146, August 2014. [6] .S. M. Anamul Haque, S. M. Kamruzzaman and Md. Ashraful Islam1, “A System for Smart-Home Control of Appliances Based on Timer and Speech Interaction,” in Proceedings of the 4th International Conference on 9. BIOGRAPHIES Sanu Kumar Das is a student of Dr.D.Y.Patil College of Engineering, currently pursuing his B.E in Electronics & Telecommunication. His areas of interest are DSP, Signal & System, and Digital Communication System. Akhilesh Yadav. B is a student of Dr.D.Y.Patil College of Engineering, currently pursuing his B.E in Electronics & Telecommunication. His areas of interest are Digital Control System, Embedded Systems etc. Vitthal Rathod is a student of Dr.D.Y.Patil College of Engineering, currently pursuing his B.E in Electronics & Telecommunication. His areas of interest are Power Electronics and Drives, Digital Control, ANN & Fuzzy Logic Applications etc.
Download now