speaker-diarization-problem

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vishalshar / SpeakerDiarization_RNN_CNN_LSTM

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

audio tensorflow cnn recurrent-neural-networks lstm rnn mlp cnn-model speaker-diarization speaker-diarization-problem speakerdiarization-rnn separating-speakers

Updated Jan 8, 2021
Python

rvarma9604 / enc_EEND

Star

Implementation of the paper "End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors" by Shota Horiguchi et al.

end-to-end speaker-diarization speaker-diarization-problem