notepipe-asr-speech-swift
A notepipe speech adapter that runs speech recognition locally on Apple silicon with speech-swift: Qwen3-ASR 1.7B on MLX by default, or Qwen3-ASR 0.6B and Whisper on Core ML.
This adapter is built in CI but has not yet been verified on hardware.
Install
macOS 15 or later on Apple silicon:
uv tool install "notepipe[speech-swift]"
The package installs mlx.metallib next to the executable, where MLX looks for it. Building from source needs Xcode with
its Metal toolchain (xcodebuild -downloadComponent MetalToolchain); a plain cargo install does not copy
mlx.metallib.
Use
[speech]
adapter = ["notepipe-asr-speech-swift"]
concurrency = 1
--model selects qwen3-1.7b (default), qwen3-0.6b or whisper. The first run downloads the model.
[transcript].language is passed to the model.
The Qwen models write at most 448 tokens per segment, roughly a minute of speech. Keep
[speech.detection].max_segment at its default of 20 seconds, or below 60, so that long segments are not cut short.
1 maintainer
Metadata
1 maintainer
Release files for notepipe-asr-speech-swift 0.1.0
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| notepipe_asr_speech_swift-0.1.0-py3-none-macosx_15_0_arm64.whl | Python 3 | none | macOS 15.0+ ARM64 | Details |
Release files / notepipe_asr_speech_swift-0.1.0-py3-none-macosx_15_0_arm64.whl
| Download URL | notepipe_asr_speech_swift-0.1.0-py3-none-macosx_15_0_arm64.whl |
|---|---|
| Size | 8.2 MB |
| Tags | Python 3 macOS 15.0+ ARM64 |
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