A PyTorch-based Speech Toolkit

Official PyTorch Implementation of CleanUNet (ICASSP 2022)

Distributed semi-constrained microphone arrays

Quality evaluation for Deep Ad-hoc Beamforming Algotihm using Keras

transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

Full implementation of "End-to-end microphone permutation and number invariant multi-channel speech separation" (Interspeech 2020)

基于深度学习的语音增强、去混响

Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

Conformer-based Metric GAN for speech enhancement

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

The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".

Deep learning for audio denoising

speech enhancement\speech seperation\sound source localization

Linux_C课程作业（多线程 生产者 消费者）

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

南通大学—管理信息系统课程设计—考勤管理系统

机器学习项目实战

通过航空公司数据识别不同客户价值（KMeans聚类）

data mining class