Wyoming speech-to-text server for Home Assistant using NVIDIA Parakeet
Loads parakeet-mlx in-process (no HTTP hop) and serves it over the Wyoming
protocol. On an M4 Mac mini this transcribes typical voice commands in ~110ms
versus ~1150ms for a whisper.cpp large-v3 setup, with identical accuracy on a
ten-command benchmark.
Two behaviours matter beyond speed: silence returns an empty string rather
than whisper's "Thank you." hallucination, and there is no decoder context
carried between requests.
Notable implementation details, all covered by mutation-checked regression
tests:
- MLX streams are thread-local, so the model is loaded and evaluated on a
single dedicated worker thread. Splitting those raises
"There is no Stream(cpu, 1) in current thread".
- parakeet_mlx.load_audio() shells out to ffmpeg, which is unnecessary here
since Wyoming delivers 16kHz mono PCM. The mel is built directly via
get_logmel(), whose input must be float32 -- it views the complex STFT
output as the input dtype, so anything narrower doubles the mel bin count.
- Wyoming's run loop has no except clause, so an exception escaping
handle_event closes the connection without sending a Transcript and Home
Assistant waits indefinitely. Failures are caught and returned as an empty
transcript instead.
Defaults to parakeet-tdt-0.6b-v2 rather than the newer multilingual v3
because v2 emits digits ("21 degrees") where v3 spells numbers out, and
Home Assistant's local intent matching expects digits.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
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#!/usr/bin/env python3
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"""Wyoming ASR server for NVIDIA Parakeet via parakeet-mlx (Apple Silicon)."""
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import argparse
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import asyncio
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import logging
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from wyoming.info import AsrModel, AsrProgram, Attribution, Info
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from wyoming.server import AsyncServer
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from .engine import ParakeetEngine
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from .handler import ParakeetEventHandler
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_LOGGER = logging.getLogger(__name__)
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__version__ = "1.0.0"
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# v2 is English-only but does better inverse text normalisation than the
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# multilingual v3 ("21 degrees" / "30%" rather than "twenty-one degrees" /
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# "thirty percent"), which is what Home Assistant's local intent matching
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# expects. Don't switch to v3 without re-checking that.
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DEFAULT_MODEL = "mlx-community/parakeet-tdt-0.6b-v2"
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def build_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser()
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parser.add_argument("--uri", required=True, help="unix:// or tcp://")
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parser.add_argument("--model", default=DEFAULT_MODEL, help="HuggingFace model id")
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parser.add_argument("--language", default="en", help="Language code reported to HA")
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parser.add_argument("--debug", action="store_true", help="Log DEBUG messages")
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parser.add_argument("--log-format", default=logging.BASIC_FORMAT)
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parser.add_argument("--version", action="version", version=__version__)
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return parser
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def build_info(model: str, language: str) -> Info:
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"""Describe this service to Home Assistant's Wyoming config flow."""
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return Info(
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asr=[
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AsrProgram(
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name="parakeet-mlx",
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description="NVIDIA Parakeet TDT via MLX",
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attribution=Attribution(
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name="senstella", url="https://github.com/senstella/parakeet-mlx"
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),
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installed=True,
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version=__version__,
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models=[
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AsrModel(
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name=model,
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description=model,
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attribution=Attribution(
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name="NVIDIA",
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url="https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2",
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),
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installed=True,
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version=None,
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languages=[language],
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)
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],
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)
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]
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)
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async def main() -> None:
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args = build_parser().parse_args()
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logging.basicConfig(
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level=logging.DEBUG if args.debug else logging.INFO, format=args.log_format
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)
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_LOGGER.info("Loading %s", args.model)
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engine = ParakeetEngine(args.model)
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await engine.start()
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wyoming_info = build_info(args.model, args.language)
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server = AsyncServer.from_uri(args.uri)
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_LOGGER.info("Ready on %s", args.uri)
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await server.run(
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lambda *a, **kw: ParakeetEventHandler(wyoming_info, args, engine, *a, **kw)
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)
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def run() -> None:
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try:
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asyncio.run(main())
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except KeyboardInterrupt:
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pass
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if __name__ == "__main__":
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run()
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