A PyTorch-based Speech Toolkit
-
Updated
Jun 24, 2024 - Python
A PyTorch-based Speech Toolkit
Reading list for research topics in multimodal machine learning
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Foundation Architecture for (M)LLMs
WaveNet vocoder
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
SincNet is a neural architecture for efficiently processing raw audio samples.
AI powered speech denoising and enhancement
Open source audio annotation tool for humans
General Speech Restoration
Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
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
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
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.
Add a description, image, and links to the speech-processing topic page so that developers can more easily learn about it.
To associate your repository with the speech-processing topic, visit your repo's landing page and select "manage topics."