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AEC Challenge
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A Comparison between Spectral Subtraction and Notch Filtering for Audio Signal Denoising
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
The implementation of "Deep Learning-based Stereophonic Acoustic Echo Suppression without Decorrelation"
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
The implementation of "Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement"
Phase-Aware Speech Enhancement with Deep Complex U-Net
Based on Wavelet and Spectral Subtraction
paper:Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning; repo that holds code for improving on dropout using Stochastic Delta Rule
DNN-for-speech-enhancement
This is now the official location of the Kaldi project.
Models and examples built with TensorFlow
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement
Multibeam sonar plugin with NVIDIA Cuda library
Proof Of Concept: Obtaining Graphs Like Fig. 4 in the Paper "Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering"
The Piece-Wise Spline Wigner-Ville Distribution MATLAB Package
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.
Count the MACs / FLOPs of your PyTorch model.
A Python package for time series classification
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
Recurrent neural network for audio noise reduction (all sample rate support)
Speech Enhancement Generative Adversarial Network in TensorFlow
Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation
Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.