choravox
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
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GITHUB · launched Oct 14, 2026 · 29 upvotes (top 51%)
- Horizontal
- Dev tools
- Developer
- AI-native
- Hobby / open-source project
- asr
- cpwer
- meeting-transcription
- multi-speaker
- numpy
- overlap-detection
- +6 more
Similar launches
See all 328 similar launches →Could you build this?
Partial The pipeline stages can be assembled from existing open-source models and libraries, and the UI and reporting are vibe-codeable. Novel diarization and overlap-detection methods, and rigorous evaluation of speaker-attributed ASR, require speech-processing research expertise.
What it would actually take: The architecture would be a Python package with a NumPy core, pluggable VAD, speaker embedding, clustering-based diarization, and CTC-based speaker-attributed ASR, plus evaluation for cpWER, DER, and JER. A CPU-friendly torch extra would wrap pretrained models. The hard parts are the diarization algorithms and reproducible benchmarking, which need speech-ML researchers and labeled meeting datasets.
Competitors
Other products that read as similar to this one : 328 launches clear the similarity bar, closest 8 shown.
Attention rank: #157 of 329 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 342 days after the earliest competitor.
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