A PyTorch-based Speech Toolkit
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Updated
Jun 28, 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
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
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
Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
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
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.
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
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.
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