Add Parakeet TDT v3 as an optional transcription backend - #53
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Offer NVIDIA Parakeet alongside Whisper Base/Small via parakeet.js, keeping VAD + pyannote diarization. WebGPU uses fp16 with WASM int8 fallback; same-origin ORT WASM is served from /vendor/ort-parakeet. Co-authored-by: Wassim Gharbi <wassgha@gmail.com>
…3-e1fe-1123 Co-authored-by: Wassim Gharbi <wassgha@gmail.com>
Register Parakeet alongside Whisper in the shared ASR registry so download progress, IndexedDB cache labeling, and WebGPU→WASM fallback use the same weightlift path after merging main. Co-authored-by: Wassim Gharbi <wassgha@gmail.com>
Fold PARAKEET_INFO into MODELS with a backend discriminant so UI and the worker share one source for labels, sizes, and loader ids. Menus now render from ASR_ORDER. Co-authored-by: Wassim Gharbi <wassgha@gmail.com>
Co-authored-by: Wassim Gharbi <wassgha@gmail.com>
Keep MODELS as real speech backends only. Move "import" onto TranscriptSource (store.source) so model helpers no longer have to special-case caption import. Co-authored-by: Wassim Gharbi <wassgha@gmail.com>
wassgha
marked this pull request as ready for review
August 2, 2026 11:22
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Summary
Adds NVIDIA Parakeet TDT 0.6B v3 as a selectable transcript source alongside Whisper Base / Small and Import.
parakeetin the source menu (persisted like Whisper)parakeet.js+ ONNX: WebGPU fp16 encoder when available, WASM int8 fallback (~700 MB–1.2 GB)/vendor/ort-parakeet/(postinstall copies nestedonnxruntime-web@1.24.1and patchesparakeet.jssowasmPathsis honored)ModelManager(same progress / cache labeling / WebGPU→WASM fallback path as Whisper)MODELSregistry (ModelId) with abackenddiscriminant; UI menus render fromMODEL_ORDERTranscriptSource(ModelId | "import") is separate from models — store field issource, notmodelTest plan
modelfield) still open after thesourcerename