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 (6 years ago)

Commits 31 (last one 3 years ago)

Stargazers 64 (0 this week)

Watchers 3 (0 this week)

Forks 9

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these vishalshar/SpeakerDiarization_RNN_CNN_LSTM is ranked #392,448 (33rd percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #74,259/116,326.

vishalshar/SpeakerDiarization_RNN_CNN_LSTM is also tagged with popular topics, for these it's ranked: tensorflow (#1,779/2241), audio (#1,152/1491), cnn (#378/544)

Other Information

vishalshar/SpeakerDiarization_RNN_CNN_LSTM has Github issues enabled, there are 13 open issues and 1 closed issue.

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

0 commits on the default branch (master) since jan '22

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The only known language in this repository is Python

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