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🎤 An offline text-independent speaker recognition system

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September

A text-independent Speaker Recognition system written in ANSI C.

  • Open Source and Cross-platform
  • Uses MFCC for feature extraction
  • Uses GMM for data clustering
  • Supports speaker model creation
  • Can record and verify an arbitrary amount of sound

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Installation

1. Install the dependencies

2. Compile it: make

3. Enjoy :)

Contributing

  1. Fork it!
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -am 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request :D

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🎤 An offline text-independent speaker recognition system

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