aharrison-fullerandClaude Opus 5
4475f6d39c
Measures median latency, strict exact-match accuracy, digit formatting and silence behaviour across 48 clips (16 Home Assistant commands x 3 macOS TTS voices), on an M4 Mac mini. Headline: Parakeet v2 at 102ms median is 5x faster than the best whisper.cpp configuration and lands within one clip of it on accuracy. mlx-whisper large-v3 is the only backend to score 48/48, at 11x the latency. Moonshine is 2x faster again but gives up real accuracy (35/48). Also quantifies the reason this defaults to v2 over v3: v3 returned digits for only 10 of 21 number-bearing commands, against 21/21 for v2, which is most of the gap between their exact-match scores. The harness feeds audio to every backend as an array rather than a path -- mlx-whisper and moonshine otherwise shell out to ffmpeg, which this project deliberately does not require. Clips are gitignored; bench/make_clips.sh regenerates them. Caveats are documented in the README: this is clean synthetic TTS, so it measures latency rigorously and accuracy only as a domain smoke test, and faster-whisper is CPU-only on Apple Silicon because CTranslate2 has no Metal backend. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
8 lines
179 B
Plaintext
8 lines
179 B
Plaintext
# Backends compared in the README benchmark table. Install into a throwaway
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# venv -- not the service venv.
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parakeet-mlx
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mlx-whisper
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faster-whisper
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useful-moonshine-onnx
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requests
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