minutes🔭 Speaker diarization via transfer learning
StreamingSpeakerDiarizationOfficial open source implementation of the paper "Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation"
LIUMScripts for LIUM SpkDiarization tools
simple diarizerSimplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code
MiniVoxCode for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
SpeakerDiarization RNN CNN LSTMSpeaker 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).
D-TDNNPyTorch implementation of Densely Connected Time Delay Neural Network
RE-VERBspeaker diarization system using an LSTM
GE2E-LossPytorch implementation of Generalized End-to-End Loss for speaker verification
UHV-OTS-SpeechA data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.