vad_directed_by_noise_classification.m



This code is an implementation of VAD algorithm proposed in:

Robust voice activity detection directed by noise classification



please cite the article in your paper:



Robust voice activity detection directed by noise classification, J Saeedi, SM Ahadi, K Faez

Signal, Image and Video Processing, 1-12









the folder is also contained the following



* different noise models for svm

* different sub_functions.

* three speech signal TIMIT dataset and their vad labels





Note that you need to download noise dataset from



http://spib.rice.edu/spib/select.



and libsvm toolbox from



http://www.csie.ntu.edu.tw/~cjlin/libsvm/





It should be mentioned that both speech and noise should be sampled at 8 KHz.









Jamal Saeedi

Amirkabir University of Technology

Electrical Engineering Department-vad_directed_by_noise_classification.m



This code is an implementation of VAD algorithm proposed in:

Robust voice activity detection directed by noise classification



please cite the article in your paper:



Robust voice activity detection directed by noise classification, J Saeedi, SM Ahadi, K Faez

Signal, Image and Video Processing, 1-12









the folder is also contained the following



* different noise models for svm

* different sub_functions.

* three speech signal　TIMIT dataset and their vad labels





Note that you need to download noise dataset from



http://spib.rice.edu/spib/select.



and libsvm toolbox from



http://www.csie.ntu.edu.tw/~cjlin/libsvm/





It should be mentioned that both speech and noise should be sampled at 8 KHz.









Jamal Saeedi

Amirkabir University of Technology

Electrical Engineering Department