Gongping Huang's Projects
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Bilinear models for machine learning.
Implementation of the CGMM-MVDR beamforming
CIAIC_NoiseSuppression
Audio repository for the results of the paper "Closed-Form Solution to the Multichannel Wiener Filter with Interaural Level Difference Preservation"
A Cooperative Voice Analysis Repository for Speech Technologies
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
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.
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
links to conference publications in graph-based deep learning
LaTeX template for Marie Sklodowska-Curie Individual Fellowships application (H2020-MSCA-IF-20XY)
A comprehensive collection of recent papers on graph deep learning
Pitch detection algorithms in Matlab
Matlab toolbox to evaluate the performance of Personal Sound Zones (PSZ) systems.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Reverberation Deep Learning Toolbox for Python - Keras
This is the code for the WASPAA 2021 paper "Blind Room Parameter Estimation Using Multiple Multichannel Speech Recordings
Lectures on scientific computing with python, as IPython notebooks.
The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.
Signal Processing Tools for MATLAB
Real-time implementation of the sparse linear prediction problem using hand-tailored interior-point methods
A PyTorch-based Speech Toolkit