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GitHub topics: speaker-diarization-problem

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).

Language: Python - Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 8

joseph9991/SpeakerDiarisation-Python

Speaker Diarisation implemented in Python with the help of IBM Cloud's Watson, which provides a free speech-to-text API

Language: Python - Size: 9.75 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

rvarma9604/enc_EEND

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.

Language: Python - Size: 44.9 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

Related Keywords
speaker-diarization 3 speaker-diarization-problem 3 audio 1 cnn 1 cnn-model 1 lstm 1 mlp 1 recurrent-neural-networks 1 rnn 1 separating-speakers 1 speakerdiarization-rnn 1 tensorflow 1 python3 1 end-to-end 1