# haoheliu/voicefixer

General Speech Restoration

Repository: https://github.com/haoheliu/voicefixer
Canonical: https://ross.abutalabs.com/products/voicefixer
Homepage: https://haoheliu.github.io/demopage-voicefixer/
Language: Python
License: MIT
License Family: permissive
Topics: speech-processing, speech-synthesis, speech-enhancement, speech-analysis, speech, tts, declipping, dereverberation, denoise, super-resolution, vocoder, mel
Last push: 2025-02-17T14:13:03+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 7, release rhythm 8, longevity 100
- inputs: {"age_days": 1822, "days_push": 562, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1373, forks 163 (observed 2026-08-28T04:04:32.418277+00:00)

## What it is
VoiceFixer is a Python library and CLI tool for general speech restoration, using a pretrained neural vocoder to restore degraded human speech. It handles noise, reverberation, low resolution (2kHz-44.1kHz), and clipping within a single model.

## Use cases
- restore degraded speech recordings
- denoise speech audio
- remove reverberation from voice recordings
- upsample low-resolution speech to 44.1kHz
- fix clipped audio recordings
- enhance old or low-quality voice recordings
- batch process wav files for speech enhancement

## When to choose
- you need to restore seriously degraded speech in one model
- you want a pip-installable tool with CLI and Python API
- you need speech super-resolution, denoising, dereverberation, or declipping
- you want pretrained models without training your own

## When to avoid
- you need real-time or streaming enhancement
- you need music or general audio restoration rather than speech
- you need to train a custom restoration model from scratch
- you need non-wav input formats without conversion

## Facets
- artifact type: library
- maturity: stable
- function: audio-processing, speech-recognition, machine-learning, cli
- domain: speech-processing, machine-learning, deep-learning
- platform: python, cli, cross-platform
- tags: speech-restoration, denoising, dereverberation, declipping, speech-super-resolution, neural-vocoder, speech-enhancement, audio

## Member repositories
- haoheliu/voicefixer (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:32.418277+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 2026-08-30T04:40:42.251650+00:00, confidence not recorded.
  - readme: https://github.com/haoheliu/voicefixer (fetched 2026-08-28T04:04:32.418277+00:00, sha bd87ae590020)
  - homepage: https://haoheliu.github.io/demopage-voicefixer/ (fetched 2026-08-29T11:57:07.958371+00:00, sha 866be630e022)
  - registry_pypi: https://pypi.org/pypi/voicefixer/json (fetched 2026-08-29T11:57:07.960915+00:00, sha c45e6e7043a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.