m-bain/whisperX
whisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
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m-bain
m-bain • individual
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Created
Dec 9, 2022
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README Summary
If you’re looking for a transcription API for meetings, consider checking out [Recall.ai's Meeting Transcription API](https://www.recall.ai/product/meeting-transcription-api?utm_source=github&utm_medium=sponsorship&utm_campaign=mbain-whisperx), an API that works with Zoom, Google Meet, Microsoft Teams, and more. Recall.ai diarizes by pulling the speaker data and separate audio streams from the meeting platforms, which means 100% accurate speaker diarization with actual speaker names.
Community Evaluation
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Audio Feature ExtractionAudio Signal ProcessingAutomatic Speech RecognitionForced AlignmentMulti-model Pipeline IntegrationSpeaker DiarizationTransformer Fine-tuningVoice Activity Detection
Tags
Audio Feature ExtractionAudio Signal ProcessingAutomatic Speech RecognitionForced AlignmentMulti-model Pipeline IntegrationSpeaker DiarizationTransformer Fine-tuningVoice Activity DetectionAI SafetyBenchmarkingCourseForkedGPU / CUDAHuggingFaceOpenAIPyTorchPythonResearch / PapersRustSpeech to TextTutorial
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Updated 2 months ago
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Quality
beta- Quality
- high
- Maturity
- beta
Categories
Learning ResourcesPrimaryEvals & BenchmarkingInference & ServingSecurity & SafetyFoundation ModelsModel TrainingGenerative MediaSafety & AlignmentSearch & KnowledgeOther AI / ML
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Safety & AlignmentUser ExperienceData & Evaluation
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Python100.0%
Timeline
- Project created
- Dec 9, 2022
- Forked
- Mar 22, 2026
- Your last push
- 2 months ago
- Upstream last push
- 2 months ago
- Tracked since
- Mar 17, 2026
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