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  • 👋 Hi, I’m Xianrui Wang
  • 👀 I’m interested in Stand up comedy and Audio signal processing (Blind source separation, Dereverberation, Beamforming, Source localization & Noise supression).
  • ✨ Advisor: Prof. Shoji Makino, Prof. Walter Kellermann.
  • ✨ I'm also working closely with Prof. Jacob Benesty, Prof. Israel Cohen, Dr. Gongping Huang, Dr. Andreas Brendel.
  • 🌱 I’m currently learning DNN assisted source separation
  • 💞️ I’m looking to collaborate on semi-blind source separation and target speaker extraction
  • 📫 How to reach me [email protected]

王贤锐(Henry)'s Projects

asteroid icon asteroid

The PyTorch-based audio source separation toolkit for researchers

auxiva icon auxiva

Independent vector analysis with alixiary-function-method

beamformers icon beamformers

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

blind_source_separation_dataset icon blind_source_separation_dataset

A flexible dataset for blind source separation. You can change the non-stationarity of background noise, reverberation time of room according to your application flexiblely .

bssaec2020 icon bssaec2020

A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation

cgmm-mask-estimator icon cgmm-mask-estimator

Implementation of the offline method described in "Robust mvdr beamforming using time-frequency masks for online/offline asr in noise"

clarity icon clarity

Clarity Challenge toolkit - software for building Clarity Challenge systems

code_2020icassp_five icon code_2020icassp_five

Fast Independent Vector Extraction: Code and data to reproduce the results from the paper.

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.

dvae_se icon dvae_se

Unsupervised speech enhancement using DVAEs

fasnet-tac-pytorch icon fasnet-tac-pytorch

Full implementation of "End-to-end microphone permutation and number invariant multi-channel speech separation" (Interspeech 2020)

fastica icon fastica

Fast ICA algorithm for blind source separation

fullrankscm icon fullrankscm

MATLAB script of Full-Rank Spatial Covariance Model

gcc-nmf icon gcc-nmf

Real-time GCC-NMF Blind Speech Separation and Enhancement

gpurir icon gpurir

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

henrysignal icon henrysignal

Trying to open source of various conventional speech enhancement algorithms, including beamforming, separation, dereverberation, echo cancellation. Please feel free to ask for the code by submitting issue and I will update this repo accordingly.

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