Chau

Angular-Penalty-Softmax-Losses-Pytorch. Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

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

simple_diarizer. Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code

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

GE2E-Loss. Pytorch implementation of Generalized End-to-End Loss for speaker verification

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

MTL-Speaker-Embeddings. Code for the paper: "Leveraging speaker attribute information using multi task learning for speaker verification and diarization" presented at Interspeech 2021

dropclass_speaker. DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

splitdim_disentangle. Disentangling speaker embeddings using multi-task learning and adversarial training