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This is my Masters thesis project titled "Speaker Detection and Conversation Analysis on Mobile Devices".

License: MIT License

C++ 17.91% Makefile 25.26% C 0.67% Shell 0.03% MATLAB 0.89% Python 1.97% Java 52.06% TeX 1.20% Batchfile 0.01%
android performance-analysis mobile-computing voice-activity-detection speaker-recognition conversation-analysis mobile-app

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android-speaker-audioanalysis's Issues

Information

Hi,
It's very interesting your thesis project and i would like to test it.
how can I test it?
thanks

Best Regards

How to use GaussianMixture.java to create speaker model

Hi @wahibhaq

Can you please explain how can I use the GaussianMixture.java class, in your android project of speaker detection ?

I tried to import your project into Android Studio, and now the extraction of MFCC features and dumping them into a CSV file, works perfectly. But I cannot understand how to proceed to create a Gaussian Mixture Model from those features.

I tried looking up on what should be provided as weights to the GaussianMixture class, and found the following:
StackExchange - Covariance and Weights
StackOverflow - Gaussian Component Class' weight

From what I understand, is that K-Means clustering would work to cluster different speakers separately, when the MFCC features of audio samples of all the speakers are available.
But how will K-Means clustering work, when audio sample is collected for a particular speaker ?

Please guide if I'm proceeding in the right direction, and correct my understanding if needed.
Thanks.

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