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Title: matlab code for speech recognition using mfcc
Page Link: matlab code for speech recognition using mfcc -
Posted By: Manoj
Created at: Thursday 17th of August 2017 04:48:31 AM
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http://seminarsprojects.net/Thread-speech-recognition-using-matlab-mfcc?pid=45453&mode=threaded

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Title: speaker recognition using mfcc java code
Page Link: speaker recognition using mfcc java code -
Posted By: bhands
Created at: Thursday 17th of August 2017 04:50:55 AM
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speaker recognition using mfcc java code

Abstract

Speaker identification system is one of the applications of biometric using voice signal. In this paper we have implemented a speaker recognition system using a combination of Mel Frequency Capestral Coefficients (MFCC) & Kekre's Median Codebook Generation Algorithm (KMCG). The MFCC algorithm is used for feature extraction while the KMCG algorithm plays important role in code book generation and feature matching. For implementation simplicity the system is built as a text dependent system, i.e ....etc

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Title: voice recognition using mfcc matlab codes
Page Link: voice recognition using mfcc matlab codes -
Posted By: alisha
Created at: Thursday 05th of October 2017 04:17:32 AM
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I need code for voice recognition system using mfcc algorithm for application of domestic appliance controlling for HM2007 KIT. ....etc

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Title: speaker recognition using mfcc matlab code
Page Link: speaker recognition using mfcc matlab code -
Posted By: sanjay
Created at: Thursday 17th of August 2017 05:40:10 AM
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To get full information or details of speaker recognition using mfcc matlab code please have a look on the pages

https://scribddoc/59159000/29/Matlab-Code-for-MFCC-approach

http://ijeseattachments/File/v1i7/G0307051713.pdf

http://minhdo.ece.illinois.edu/teaching/speaker_recognition/

if you again feel trouble on speaker recognition using mfcc matlab code please reply in that page and ask specific fields in speaker recognition using mfcc matlab code ....etc

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Title: free download matlab code for speaker recognition using gmm mfcc
Page Link: free download matlab code for speaker recognition using gmm mfcc -
Posted By: DARKANGEL
Created at: Thursday 17th of August 2017 08:26:51 AM
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To get full information or details of matlab code for speaker recognition using gmm mfcc please have a look on the pages

http://seminarsprojects.net/Thread-matlab-code-for-gmm-ubm-for-speaker-verification?pid=85371#pid85371

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Title: matlab code for gmm ubm for speaker verification
Page Link: matlab code for gmm ubm for speaker verification -
Posted By: sarin babu
Created at: Thursday 05th of October 2017 04:07:39 AM
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Title: matlab code for speaker recognition using gmm
Page Link: matlab code for speaker recognition using gmm -
Posted By: harshit
Created at: Thursday 05th of October 2017 03:22:25 AM
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Sir I need Matlab code for speaker recognition using GMM-UBM system ....etc

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Title: speaker verification gmm ubm
Page Link: speaker verification gmm ubm -
Posted By: ravi.buche
Created at: Thursday 17th of August 2017 08:21:34 AM
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To get full information or details of speaker verification please have a look on the pages

http://seminarsprojects.net/Thread-robust-text-independent-speaker-verification

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Title: speech recognition using MATLABMFCC
Page Link: speech recognition using MATLABMFCC -
Posted By: ash7817
Created at: Thursday 17th of August 2017 05:13:52 AM
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Hello m doing speech recognition project.
i m using MFCC for speech feature extraction.
as my system is supposd to be speaker independent so how can i get rid of speaker features. system should apply acess in case password is given which is already in systems library. any speaker can has the acess by giving password ....etc

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Title: gmm speaker recognition matlab code mfcc
Page Link: gmm speaker recognition matlab code mfcc -
Posted By: sudhansagar
Created at: Thursday 17th of August 2017 05:04:36 AM
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gmm speaker recognition matlab code mfcc

This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using a single data likelihood over the GMM learned by point estimation methods according to the maximum likelihood or maximum a posteriori criteria. In contrast, the Bayesian approach evaluates the score by using the expectation of the data likelihood over the posterior distribution of the model parameters, which is depicted by Baye ....etc

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