runngezhang-jx's repositories
s3prl
Self-Supervised Speech Pre-training and Representation Learning Toolkit
CTCNet
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits
phasen
A unofficial Pytorch implementation of Microsoft's PHASEN
mlx-examples
Examples in the MLX framework
txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
basic-pitch
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
pybind11
Seamless operability between C++11 and Python
llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
silero-vad2
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
dlrover
DLRover: An Automatic Distributed Deep Learning System
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning.
AP-BWE
Towards Efficient and High-Quality Bandwidth Extension with Parallel Amplitude-Phase Prediction
zhconv
Simple conversion and localization between simplified and traditional Chinese using tables from MediaWiki.
python
Boost.org python module
MoeVoiceStudio
一个使用C++编写的音频处理软件
SRP-DNN
A python implementation of “SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization” [ICASSP 2022]
fastRAG
Efficient Retrieval Augmentation and Generation Framework
wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
DTLN_pytorch
Dual-signal Transformation LSTM Network, PyTorch,NCNN
ECAPA-TDNN
Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
odas
ODAS: Open embeddeD Audition System
DNS-Challenge
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.