Xinyu Tang's repositories
Amphion
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
asteroid
The PyTorch-based audio source separation toolkit for researchers
audio_source_separation
An implementation of audio source separation tools.
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
IVA4Cocktail
Neural network density models for speech separation.
nara_wpe
Different implementations of "Weighted Prediction Error" for speech dereverberation
piva
Performance-oriented implementation of independent vector analysis for blind source separation.
POP909-Dataset
This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation
Voice-Separation-and-Enhancement
A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.