A vue-based project page template for academic papers. (in development) https://junyaohu.github.io/academic-project-page-template-vue

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

The official implementation of GTCRN, an ultra-lite speech enhancement model.

A training code template for DNN-based speech enhancement.

An example of a speech enhancement model deployed with TensorRT.

Open implementation of UNIVERSE and UNIVERSE++ diffusion-based speech enhancement models.

Audio waveform player

Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;

Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction

Python implementation of performance metrics in Loizou's Speech Enhancement book

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

Perceptual Quality Estimator for speech and audio

PyTorch implementation of the Flash Spectral Transform Unit.

Expressive Anechoic Recordings of Speech (EARS)

The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).

Phase-Aware Speech Enhancement with Deep Complex U-Net

Official code for MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancemen

语音方向实验室/公司/资源/实习等，欢迎推荐或自荐

Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation

Convolutional recurrent network in pytorch

Visualizer for neural network, deep learning and machine learning models

End-to-End Speech Processing Toolkit

The PyTorch-based audio source separation toolkit for researchers

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Latex code for making neural networks diagrams

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Conditional Diffusion Probabilistic Model for Speech Enhancement