Add large-v3-turbo to the Whisper model list - #47
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faster-whisper already accepts the large-v3-turbo model; expose it in the Settings > Transcription combo and document it in the README models and settings tables. Turbo has 4 decoder layers vs large-v3's 32 (several times faster decode, ~0.3% WER difference).
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Closes #44.
Summary
Adds
large-v3-turboto the Whisper model list in Settings → Transcription. faster-whisperalready accepts this model name; TalkTrack just didn't offer it in the UI.
large-v3-turbohas 4 decoder layers vslarge-v3's 32, giving several times faster decodefor roughly a ~0.3% WER difference — a strong default for users who want near-
large-v3accuracy without the full decode cost. First use downloads the model (~1.6 GB) and caches it
locally like the other models.
Changes
app/ui/settings_dialog.py— new combo item afterlarge-v3.README.md— new row in the Whisper Models table and updated Settings table.Testing
transcribed a short recording end-to-end.
~/.talktrack/settings.jsonand reloads).python -m pytest tests/ -v— full suite green.No behavior change for existing models; this is purely an added option.