skyspace

kaldi-asr/kaldi is the official location of the Kaldi project.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

Deep learning for audio processing

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

UniSpeech - Large Scale Self-Supervised Learning for Speech

Aims to create a comprehensive voice toolkit for training, testing, and deploying speaker verification systems.

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)