feat(whisperx): add whisperx backend for transcription with speaker diarization #8299
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mudler
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mudler
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Jan 30, 2026
mudler
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Hi @mudler I have updated the code based on your feedback. |
Add speaker field to the gRPC TranscriptSegment message and map it through the Go schema, enabling backends to return speaker labels. Signed-off-by: eureka928 <[email protected]>
Add Python gRPC backend using WhisperX for speech-to-text with word-level timestamps, forced alignment, and speaker diarization via pyannote-audio when HF_TOKEN is provided. Signed-off-by: eureka928 <[email protected]>
Signed-off-by: eureka928 <[email protected]>
Signed-off-by: eureka928 <[email protected]>
Signed-off-by: eureka928 <[email protected]>
…ments Address review feedback: - Use --extra-index-url for CPU torch wheels to reduce size - Remove torch version pins, let uv resolve compatible versions Signed-off-by: eureka928 <[email protected]>
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Hi @mudler hope you're having good weekend |
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Description
This PR adds a new WhisperX Python backend that provides transcription with speaker diarization (identifying who is speaking), word-level timestamps, and forced alignment via pyannote-audio.
Closes #3375
Key changes:
TranscriptSegmentmessage with aspeakerfield (backward-compatible — existing backends leave it empty)Speakerfield through the Go schema (core/schema/transcription.go) and backend mapper (core/backend/transcript.go)backend/python/whisperx/backend with gRPC server, requirements for CPU/CUDA 12/CUDA 13/ROCm, and unit testsbackend/index.yaml, and CI workflowSpeaker diarization requires a HuggingFace token (
HF_TOKENenv var) with access to pyannote models, and is activated by settingdiarize=truein the transcription request.Notes for Reviewers
Signed commits