strob/gentle
gentle forced aligner observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 94
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3967
- days_rel: n/a
- days_push: 40
- n_releases_24m: 0
Adoption not part of the score
1705 stars · 307 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Gentle is a robust yet lenient forced aligner built on Kaldi that aligns audio speech with a known text transcript. It can be used as a Mac GUI app, a Dockerized web server with a REST API, or a Python command-line tool.
Use cases
- align a transcript with an audio recording word by word
- get word-level timestamps for podcast or video audio
- serve forced alignment over a REST API
- transcribe audio and view alignment results in a browser
- batch-align audio files from the command line
When to choose
- you need word-level alignment of speech to a known transcript
- you want a self-hosted aligner with a simple REST API
- you prefer a Kaldi-based aligner that tolerates transcript mismatches
When to avoid
- you need full speech-to-text without a reference transcript
- you need Windows-native support without Docker
- you need actively developed cutting-edge ASR features
Facets
library · maturity maintenance
speech-recognition nlp audio-processing http-server cli speech-processing media python cli forced-alignment kaldi transcription-alignment rest-api audio-text-alignment natural-language-processing audio macos linux docker web-server
2 sources
- readme: https://github.com/strob/gentle · fetched 2026-08-28 · 43c8663b411b
- homepage: https://rmozone.com/gentle/ · fetched 2026-08-29 · 4258aa1fb831
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| strob/gentle | main | 65 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem