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wang-asher's Projects

conv-tasnet icon conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

deepxi icon deepxi

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2. For speech enhancement and robust ASR.

demucs icon demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

dns-challenge icon dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

dtln icon dtln

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

dual-path-rnn-pytorch icon dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

mrcg icon mrcg

a optional way to extract audio feature

mtfaa-net icon mtfaa-net

Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement

nemo icon nemo

NeMo: a toolkit for conversational AI

percepnet icon percepnet

(Work In Progress) Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

rnnoise icon rnnoise

Recurrent neural network for audio noise reduction

rnnoise-windows icon rnnoise-windows

This is a RNNoise windows demo. It was modified and restructured so that it can be compiled with MSVC, VS2017, VS2019.

speexdsp icon speexdsp

Speex audio processing library - THIS IS A MIRROR, DEVELOPMENT HAPPENS AT https://gitlab.xiph.org/xiph/speexdsp

vad icon vad

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

vad_tutorial icon vad_tutorial

Simple DNN based Voice Activity Detection (VAD) using Pytorch

vadnet icon vadnet

Real-time Voice Activity Detection in Noisy Eniviroments using Deep Neural Networks

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