feat(voice-to-text): language selector + larger model for Bahasa - #80
Merged
Conversation
…r Bahasa
Bahasa (and other non-English) accuracy was poor because Whisper was auto-
detecting the language (often mis-guessing on short clips) on the small
whisper-base model.
- Add a Language selector (default Auto-detect) shown for multilingual models;
pass the chosen language + task:'transcribe' to Whisper. Naming the language
is the biggest accuracy win at zero download cost. Indonesian/Malay/Javanese/
Sundanese listed first, plus major world languages.
- Add 'Multilingual · Better' (onnx-community/whisper-small) as an opt-in model —
markedly better for non-English, larger one-time download. whisper-base stays
the default multilingual.
- Engine: SttModelId gains whisper-small; transcribe() takes an optional
{ language } (applied only for multilingual models).
545 tests · lint clean · build green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Deploying with
|
| Status | Name | Latest Commit | Updated (UTC) |
|---|---|---|---|
| ✅ Deployment successful! View logs |
goodwebtools | f344783 | Aug 01 2026, 10:48 AM |
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Bahasa accuracy was poor because Whisper auto-detected the language (often mis-guessing short clips) on the small whisper-base model.
language+task:'transcribe'. Naming the language is the biggest accuracy win at zero download cost. Indonesian/Malay/Javanese/Sundanese first, plus major languages.whisper-smallopt-in model — markedly better for non-English, larger download. whisper-base stays the default.transcribe()takes optional{ language }(multilingual models only).545 tests · lint clean · build green. Model/transcription paths are build + manual smoke.
🤖 Generated with Claude Code