There are 45 repositories under speech-processing topic.
A PyTorch-based Speech Toolkit
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Reading list for research topics in multimodal machine learning
Foundation Architecture for (M)LLMs
WaveNet vocoder
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
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.
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
General Speech Restoration
Open source audio annotation tool for humans
Verbatim Automatic Speech Recognition with improved word-level timestamps and filler detection
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.
A neural network for end-to-end speech denoising
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
:sound: spafe: Simplified Python Audio Features Extraction
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
This repository has implementation for "Neural Voice Cloning With Few Samples"
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.