A PyTorch-based Speech Toolkit

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

Reading list for research topics in multimodal machine learning

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Foundation Architecture for (M)LLMs

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

WaveNet vocoder

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

AI powered speech denoising and enhancement

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

Controllable and fast Text-to-Speech for over 7000 languages!

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

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

General Speech Restoration

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

Open source audio annotation tool for humans

Voice Activity Detector(VAD) from TEN: low-latency, high-performance and lightweight

Speech, Language, Audio, Music Processing with Large Language Model

You can find the speech algorithms you want here

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.