fjiang9

dual-path-RNNs-DPRNNs-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

griffin_lim

Implementation of the Griffin and Lim algorithm to recover an audio signal from a magnitude-only spectrogram.

mel-stylegan

NKF-AEC

Acoustic Echo Cancellation with Nerual Kalman Filtering

QSS-Skin-Builder

【此项目作者为刘典武，不是我自己的原创项目，望周知。也请大家不要骚扰刘典武。】一个用Qt开发的用来生成QSS文件的小程序，附简单Demo，主程序本身也可以看作一个很好的Demo。

sanet

SparseLibriMix

Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars

Task 4 Large-scale weakly supervised sound event detection for smart cars

two_step_mask_learning

A two step optimization for sound source separation on the adaptive front-end domain

unaglow

fjiang9/NKF-AEC

Acoustic Echo Cancellation with Nerual Kalman Filtering

fjiang9/sanet

fjiang9/mel-stylegan

fjiang9/SparseLibriMix

fjiang9/Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars

Task 4 Large-scale weakly supervised sound event detection for smart cars

fjiang9/dual-path-RNNs-DPRNNs-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

fjiang9/griffin_lim

Implementation of the Griffin and Lim algorithm to recover an audio signal from a magnitude-only spectrogram.

fjiang9/QSS-Skin-Builder

【此项目作者为刘典武，不是我自己的原创项目，望周知。也请大家不要骚扰刘典武。】一个用Qt开发的用来生成QSS文件的小程序，附简单Demo，主程序本身也可以看作一个很好的Demo。

fjiang9/two_step_mask_learning

A two step optimization for sound source separation on the adaptive front-end domain

fjiang9/unaglow

fjiang9/asteroid

The PyTorch-based audio source separation toolkit for researchers || Pretrained models available

fjiang9/CPC_audio

An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

fjiang9/dcase2020_task2_baseline

DCASE2020 Challenge Task 2 baseline system

fjiang9/EAMM

Code for paper 'EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model'

fjiang9/espnet

End-to-End Speech Processing Toolkit

fjiang9/FaceFormer

[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

fjiang9/fjiang9.github.io

fjiang9/frugally-deep

Header-only library for using Keras models in C++.

fjiang9/GTCNN

Personalized AEC

fjiang9/HA2G

Code for "Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation" (CVPR 2022).

fjiang9/LibriMix

An open source dataset for source separation

fjiang9/MC-Sonaar

pure data live sampling-mashup tool

fjiang9/meta-SR

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

fjiang9/oc-toy

One-class classification

fjiang9/softmax_variants

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss

fjiang9/unagan

Code for Unconditional Audio Generation with GAN and Cycle Regularization

fjiang9/wavegan

WaveGAN: Learn to synthesize raw audio with generative adversarial networks

fjiang9/wavegan-pytorch

Pytorch Implementation of wavegan model to generate audio