# WenzheLiu-Speech/awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

Repository: https://github.com/WenzheLiu-Speech/awesome-speech-enhancement
Canonical: https://ross.abutalabs.com/products/awesome-speech-enhancement
License: GPL-2.0
License Family: copyleft
Last push: 2023-11-14T09:00:38+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2357, "days_push": 1023, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1249, forks 225 (observed 2026-08-28T04:04:07.942203+00:00)

## What it is
A curated awesome-list of papers, code repositories, tools, books, and resources for speech enhancement, speech separation, dereverberation, and array signal processing. It organizes research by technique (spectral masking, spectral mapping, etc.) with links to implementations.

## Use cases
- find papers on speech enhancement
- find open-source speech separation code
- research noise suppression models
- learn about beamforming and array signal processing
- find datasets for audio denoising
- compare deep learning approaches for speech enhancement

## When to choose
- you are researching speech enhancement or separation methods
- you need a starting point to find papers and reference implementations
- you want an overview of the field's techniques and tools

## When to avoid
- you need a ready-to-use speech enhancement library or product
- you need maintained, runnable code rather than links to papers and repos
- you need up-to-date coverage of the latest research

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: audio-processing, speech-recognition, machine-learning, developer-tools
- domain: speech-processing, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, speech-enhancement, speech-separation, sound-source-localization, papers, denoising, beamforming, audio

## Member repositories
- WenzheLiu-Speech/awesome-speech-enhancement (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.942203+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:07:46.595682+00:00, confidence not recorded.
  - readme: https://github.com/WenzheLiu-Speech/awesome-speech-enhancement (fetched 2026-08-28T04:04:07.942203+00:00, sha 0693534716f8)
- Data as of 2026-08-30T08:39:29.467469+00:00.