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

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

A PyTorch-based Speech Toolkit

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

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

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

In defence of metric learning for speaker recognition

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

Deep learning for audio processing

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

UniSpeech - Large Scale Self-Supervised Learning for Speech

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

Official repository for RawNet, RawNet2, and RawNet3

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.

Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"

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

Speaker embedding (d-vector) trained with GE2E loss

speechlib is a library that can do speaker diarization, transcription and speaker recognition on an audio file to create transcripts with actual speaker names.

Simple d-vector based Speaker Recognition (verification and identification) using Pytorch

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

target speaker extraction and verification for multi-talker speech

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

A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)

Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"