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)

A PyTorch-based Speech Toolkit

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

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

SincNet is a neural architecture for efficiently processing raw audio samples.

In defence of metric learning for speaker recognition

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

an open-source implementation of sequence-to-sequence based speech processing engine

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

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

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

This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

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

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

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

使用Tensorflow实现声纹识别

本项目使用了EcapaTdnn、ResNetSE、ERes2Net、CAM++等多种先进的声纹识别模型，同时本项目也支持了MelSpectrogram、Spectrogram、MFCC、Fbank等多种数据预处理方法

A desktop application that uses AI to translate voice between languages in real time, while preserving the speaker's tone and emotion.