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https://github.com/cyrta/awesome-speech-enhancement

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.
https://github.com/cyrta/awesome-speech-enhancement

List: awesome-speech-enhancement

awesome awesome-list deep-learning denoising dereverberation noise-reduction speech-denoising speech-enhancement speech-processing speech-separation

Last synced: 8 days ago
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A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

Host: GitHub
URL: https://github.com/cyrta/awesome-speech-enhancement
Owner: cyrta
License: cc0-1.0
Created: 2019-09-09T17:14:58.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2019-09-09T17:51:07.000Z (almost 5 years ago)
Last Synced: 2024-05-22T22:00:25.041Z (about 1 month ago)
Topics: awesome, awesome-list, deep-learning, denoising, dereverberation, noise-reduction, speech-denoising, speech-enhancement, speech-processing, speech-separation
Homepage: http://cyrta.com/awesome-speech-enhancement/
Size: 13.7 KB
Stars: 58
Watchers: 6
Forks: 15
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: code-of-conduct.md

Lists

Awesome-Paper-List - Speech Enhancement
my-awesome-stars - cyrta/awesome-speech-enhancement - A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources. (Others)

README

        # 🗣️  Awesome Speech Enhancement 🎙 🔊 🎤 📱💻   💬     

[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)   [![Contribution](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/cyrta/awesome-speech-enhancement/blob/master/CONTRIBUTING.md)

[Speech enhancement](https://en.wikipedia.org/wiki/Speech_enhancement) aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques.

Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement, and used for many applications such as mobile phones, VoIP, teleconferencing systems, speech recognition, and hearing aids.

![image of speech enhancement](https://www.microsoft.com/en-us/research/wp-content/uploads/2017/02/IMG_0931.jpg)

This is a collection of speech enhancement introduction, tips&tricks, methods,

papers, books, software, and other resources.

* Please read [the contribution guidelines](contributing.md) before contributing.

## Table of Content

* [Problems](#problems)

* [Methods](#methods)

* [Papers](#papers)

* [Software](#software)

* [Books](#books)

* [Speech Data](#speech-data)

* [Research Groups](#research-groups)

* [Lectures](#lectures)

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## Problems

 * Noise

 * Reverberation

 * Distortion

## Methods 

 * [Comparison of Speech Enhancement Algorithms - Vihari et al, 2016](https://www.sciencedirect.com/science/article/pii/S1877050916310973)

 * Noise Reduction

 * Beamforming

 * DeReverberation

 * Distortion removal

 * Quality Expansion

 * Audio Inpainting

The algorithms of speech enhancement for noise reduction can be categorized into three fundamental classes: filtering techniques, spectral restoration, and model-based methods .

## Publications / Papers

### 2019

* [s]()

### 2018

* [s]()

### 2018

* [s]()

## Software

* []()

## Books

* J. Benesty, M. M. Sondhi, Y. Huang (ed). [Springer Handbook of Speech Processing](). Springer, 2007. ISBN 978-3-540-49125-5.

* J. Benesty, S. Makino, J. Chen (ed). [Speech Enhancement](). Springer, 2005. ISBN 978-3-540-24039-6.

* P. C. Loizou. [Speech Enhancement: Theory and Practice](). CRC Press, 2013. ISBN 978-1-466-50421-9.

* E. Vincent, T. Virtanen,  S.Gannot. [Audio Source Separation and Speech Enhancement](). Wiley , 2018. ISBN 978-1-119-27986-0.

## Speech Data

* [TED-LIUM Corpus](http://www.openslr.org/7/)

* [LibriSpeech ASR Corpus](http://www.openslr.org/12/)

* [TIMIT Corpus Sample (LDC93S1)](https://www.kaggle.com/nltkdata/timitcorpus)

## Research Groups

* [UIUC Statistical Speech Technology Group](http://www.isle.illinois.edu/sst/)

* [Imperial College, Communications and Signal Processing Group - London, U.K]()

* [Microsoft Research, Audio and Acoustics Research Group](https://www.microsoft.com/en-us/research/group/audio-and-acoustics-research-group/)

## Learning materials

### Lectures

* [High-Accuracy Neural-Network Models for Speech Enhancement - 2017](https://www.microsoft.com/en-us/research/video/high-accuracy-neural-network-models-speech-enhancement/)

* [ DNN-Based Online Speech Enhancement Using Multitask Learning and Suppression Rule Estimation - 2015](https://www.microsoft.com/en-us/research/video/dnn-based-online-speech-enhancement-using-multitask-learning-and-suppression-rule-estimation/)

* [Microphone array signal processing: beyond the beamformer - 2011](https://www.microsoft.com/en-us/research/video/microphone-array-signal-processing-beyond-the-beamformer/)

### Tech Blog posts

- 

### Video tutorials

- 

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## License

[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)

This project  is licensed under the Creative Commons CC0 1.0 Universal (CC-0) License. See [`LICENSE`](LICENSE) for the full license text.