A Python-based speaker recognition system
VoiceID can process video or audio files to identify in which slices of time there is a person speaking (diarization); then it examines all those segments to identify who is speaking. To do so you must have a voice models database. To create the database you have to do a "train phase", in interactive mode, by assigning a label to the unknown speakers.
You can also build yourself the speaker models and put those in the db using the scripts to create the gmm files.
Requirements:
• SoX
• mplayer
• wxPython
• GStreamer
• CMU Sphinx
• Python 2.7
• MplayerCtrl
• Java >= 1.6
Operating system:Windows 7 / 8 32-bit / 8 64-bit
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VoiceID 0.2 
