speech-processing

A PyTorch-based Speech Toolkit

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

Foundation Architecture for (M)LLMs

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

AI powered speech denoising and enhancement

WaveNet vocoder

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

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

Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.

General Speech Restoration

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

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

A Framework for Speech, Language, Audio, Music Processing with Large Language Model

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

A neural network for end-to-end speech denoising

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

UniSpeech - Large Scale Self-Supervised Learning for Speech

🔉 spafe: Simplified Python Audio Features Extraction

A python wrapper for Speech Signal Processing Toolkit (SPTK).

Problem Agnostic Speech Encoder