Repository holding various implementation of specific NMF methods for speaker diarization

Audio based speaker diarization

🔭 Speaker diarization via transfer learning

Pytorch implementation of Generalized End-to-End Loss for speaker verification

Time delay neural network (TDNN) implementation in Pytorch using unfold method

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Our group's submission to the first DIHARD speaker diarization challenge held as a special session in INTERSPEECH '18.

speaker diarization in phone recording/电话录音中的说话人分离

Multimodal speaker diarization using pre-trained audio-visual synchronization model

Speaker diarization simulation built with python

Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")

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.

Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196

Speaker diarization and speech to text

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).

Scoring Toolkit for the Fearless Steps Challenge Phase-02 Tasks

A very simple viewer/editor for LIUM speaker diarizations.

Speaker localization algorithms in the meeting context

speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition