#Speech-enhancement
Showing 12 of 12 repositories tagged #speech-enhancement, ranked by stars
A PyTorch-based Speech Toolkit
End-to-End Speech Processing Toolkit
Noise supression using deep filtering
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
The PyTorch-based audio source separation toolkit for researchers
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Pytorch implementation of subband decomposition
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
On-device speech SDK for Android — ASR, TTS, VAD, and noise cancellation powered by ONNX Runtime with Qualcomm NNAPI acceleration
Real-Time Streamable Generative Speech Restoration with Flow Matching