ambar-swiftui

Ambar is a macOS Menu Bar app built with SwiftUI.

conv-tasnet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

conv-tasnet-libriheavymix

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)

convert_htk_pipeline

cu_video_derain

env_scripts

espnet

End-to-End Speech Processing Toolkit

fast-rir

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

flutter_io_page

gigaspeech

Large, modern dataset for speech recognition

icefall

jinzr

jinzr.github.io

k2

FSA/FST algorithms, differentiable, with PyTorch compatibility.

kaldifeat

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

lhotse

Tools for handling speech data in machine learning projects.

libriheavy_proc

meeting-list

nas_cmd_recog

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

sherpa

Speech-to-text server framework with next-gen Kaldi

sherpa-ncnn

Real-time (online/streaming) speech recognition using next-gen Kaldi with ncnn. Support embedded systems

sherpa-onnx

Real-time speech recognition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go

shift-net

A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift

speakerbeam-libriheavymix

speechbox

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

voicefilter-libriheavymix

Unofficial PyTorch implementation of Google AI's VoiceFilter system

whisper

Robust Speech Recognition via Large-Scale Weak Supervision