Maokun Liang (FragrantRookie)

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Maokun Liang's repositories

DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

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dsdprnn-samples

Some samples of simulations described in ''Nonlinear Residual Echo Suppression Based on Dual-Stream DPRNN''

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OMLSA-IMCRA-Note

Note on Cohen's NS algorithm OMLSA-IMCRA, paper and code implementation

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papers

A memorandum of papers

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NRES

Neural Residual Echo Suppressor

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rnnoise-windows

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

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DSDPRNN

Implementation of Dual-Stream DPRNN (paper: Nonlinear Residual Echo Suppression Based on Dual-Stream DPRNN)

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ANC-Implementation

Active Noise Cancelling Algorithms implementation

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VoiceChangerSDK

voice changer sdk.

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DCCRN-1

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

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VAD

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

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AEC_DeepModel

基于深度学习的声学回声消除基线代码

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GuitarEffectsPedal

Guitar effects pedal written for the STM32F746G-DISCO, includes WahWah, Tremolo, Flanger, Distortion, Vibrato and Echo/Delay. Effect parameters editable in real time.

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cpjku_dcase20

CP-JKU submission to DCASE 20

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beamformers

Easy to use Beamformers for multi-channel speech separation/enhancement

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General-network-architecture-for-sound-event-localization-and-detection

This repository consists of python code to train sound event localization and detection models.

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Echo-Debar-AEC

Submission to the 1st Acoustic Echo Cancellation Challenge, Microsoft and ICASSP 2021.

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dsp

Digitális jelfeldolgozással kapcsolatos projektek.

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GraduateWorkANC

Application of frequency-domain control algorithms for active noise reduction system

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DTLN-aec

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

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DTLN

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

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Mono_AEC

Monophonic Acoustic Echo Cancellation (AEC) demo.

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