modulate-ai /
speech-to-text-benchmark
Reproducible speech-to-text benchmark: WER, latency and cost for Velma, Deepgram, AssemblyAI, Chirp 3, MAI-Transcribe 2, Moonshine and whisper.cpp on LibriSpeech, VoxPopuli and Common Voice.
Updated 38 min ago
+41 stars gained this week
Stars gained each day, last 30 days
Oct 4Oct 19Today
This week Before
In short
The README adds that it runs on Python with API keys for the hosted engines, and that the local engines Moonshine and whisper.cpp need no key. Audio is downloaded on demand and is not included in the repo.
Summary written by AI from the repository’s description and README.
modulate-ai / speech-to-text-benchmark
View on GitHub(opens in new tab)