End-To-End Deep Learning-based Adaptation Control for Linear Acoustic Echo Cancellation

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

VirtualWife是一个虚拟数字人项目，支持B站直播，支持openai、ollama

Acoustic Echo Cancellation with Nerual Kalman Filtering

基于深度学习的声学回声消除基线代码

Rewrite DTLN tensorflow version with torch methods.

This is an unofficial Pytorch implementation of the DTLN model repository, which contains denoising and inference code for the DTLN model. The code supports multiple configurations and has high sca…

AEC Challenge

The implementation of "Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement"

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

unofficial PyTorch implementation of 《A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement》

unofficial PyTorch implementation of 《REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET》

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

DTLN net for acoustic echo cancellation

Dual-signal Transformation LSTM Network, PyTorch,NCNN

A wrapper library of DTLN-aec acoustic echo cancellation

采用滤波+自相关方法提取基频

rebuilding DTLN-aec model. My trained output is better than author .

rebuild model of DTLN-B3 papper

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

Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

Implementation related to the Deep Complex Networks

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