Picovoice/speech-to-text-benchmark
speech to text benchmark framework
Evaluates accuracy (WER, punctuation error rate), computational efficiency (core-hour, model size), and streaming responsiveness (word emission latency) across cloud APIs (AWS, Azure, Google, IBM) and open-source engines (Whisper, Vosk, Moonshine). Supports seven languages and five major datasets (LibriSpeech, Common Voice, TED-LIUM, VoxPopuli, FLEURS) with extensible plugin architecture for adding new engines and metrics.
683 stars. Actively maintained with 1 commit in the last 30 days.
Stars
683
Forks
73
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 03, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/Picovoice/speech-to-text-benchmark"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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