# wq2012/awesome-diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

Repository: https://github.com/wq2012/awesome-diarization
Canonical: https://ross.abutalabs.com/products/awesome-diarization
Homepage: https://wq2012.github.io/awesome-diarization/
License: Apache-2.0
License Family: permissive
Topics: speaker-diarization, awesome, awesome-list, machine-learning, speech-recognition, speech-processing, deep-learning
Last push: 2026-08-12T13:14:48+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 2783, "days_push": 21, "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 1893, forks 241 (observed 2026-08-28T04:05:50.553104+00:00)

## What it is
A curated awesome-list of speaker diarization resources, including papers, software libraries, datasets, conferences, and learning materials. It serves as a reference index for researchers and engineers working on who-spoke-when audio analysis.

## Use cases
- find speaker diarization libraries and tools
- find diarization research papers and surveys
- find datasets for training speaker embedding models
- learn speaker diarization from courses and tutorials
- compare end-to-end neural diarization approaches
- find audio data augmentation and noise resources

## When to choose
- you need a starting point to survey the speaker diarization field
- you want links to diarization datasets, software, and papers in one place

## When to avoid
- you need a working diarization implementation rather than a resource index
- you need maintained software with support rather than a link list

## Facets
- artifact type: learning-resource
- maturity: active
- function: speech-recognition, machine-learning, documentation
- domain: speech-processing, machine-learning, awesome-lists
- platform: cross-platform
- tags: speaker-diarization, awesome-list, curated-resources, speech-processing, deep-learning, papers, datasets, audio

## Member repositories
- wq2012/awesome-diarization (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:50.553104+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 2026-08-30T03:12:56.304375+00:00, confidence not recorded.
  - readme: https://github.com/wq2012/awesome-diarization (fetched 2026-08-28T04:05:50.553104+00:00, sha cf3f449e9869)
  - homepage: https://wq2012.github.io/awesome-diarization/ (fetched 2026-08-29T10:52:16.311917+00:00, sha 4ca0e5baf886)
- Data as of 2026-08-30T08:39:29.467469+00:00.