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).

Date Created 2017-12-13 (7 years ago)

Commits 31 (last one 3 years ago)

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vishalshar/SpeakerDiarization_RNN_CNN_LSTM is also tagged with popular topics, for these it's ranked: tensorflow (#1,790/2258), audio (#1,170/1513), cnn (#382/557)

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Homepage URL: https://arxiv.org/abs/2006.05596

All Topics

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

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updated: 2024-11-05 @ 03:19pm, id: 114144017 / R_kgDOBs2zEQ