vinoSpeak

Intel NPU-powered text-to-speech using the Kokoro-82M INT8 OpenVINO model. Text goes in, a WAV comes out, and nothing leaves your machine after the one-time model download.

Requirements

• Python 3.11 or newer
• An Intel NPU with a compatible driver. GPU and CPU also work (--device GPU, --device CPU).
• Internet access on first run to download the model (~160 MB)

OpenVINO is pinned to the release vinoPop and vinoWhisper use, so programs sharing one NPU never run mismatched runtimes.

Install

From PyPI, with uv:

uv tool install vinospeak
vinospeak "Hello."

OpenVINO is pinned exactly; everything else resolves to the newest release that fits. To install exactly what uv.lock pins, hashes included, use a checkout. --locked fails if the lock is out of date:

git clone https://github.com/karanshukla/vinoSpeak && cd vinoSpeak
uv sync --locked
uv run vinospeak "Hello."

To put that checkout's vinospeak on your PATH with the lock's versions as constraints (uv tool install doesn't read uv.lock by itself):

uv export --locked --no-dev --no-emit-project --no-hashes -o constraints.txt
uv tool install --constraints constraints.txt .

Synthesize speech

The first run downloads OpenVINO/Kokoro-82M-int8-ov from Hugging Face, at one pinned commit, and checks every file against its sha256 (see SECURITY.md). The model is cached under ${XDG_CACHE_HOME:-~/.cache}/vinospeak/ by default.

vinospeak "Hello from vinoSpeak."                     # plays it on your speakers
vinospeak "Hello from vinoSpeak." --output hello.wav  # saves a WAV instead

Playback goes through pw-play (PipeWire, what Wayland desktops run), falling back to paplay or aplay.

The default inference device is the Intel NPU. Choose a different OpenVINO device, voice, language, speed, or model directory with the corresponding options:

vinospeak "A sample sentence." \
  --device NPU \
  --voice af_heart \
  --language en-us \
  --speed 1.0 \
  --model-dir ./kokoro-model \
  --output speech.wav

Use vinospeak --help to see all options. The audio uses the sample rate reported by OpenVINO GenAI.

Check this machine

vinospeak-doctor          # --json for a bug report

Reports the OpenVINO packages and devices, whether the cached model still matches its pins, and, if ovfetch is on your PATH, whether your OpenVINO version is inside the range recorded as working with your NPU driver. Install it with cargo install ovfetch --locked. ovfetch is advisory here: it never changes what gets installed or run.

Use it from Python

from vino_speak import Synthesizer

synth = Synthesizer("NPU")  # compiles the model once; reuse it
audio = synth.synthesize("Hello.")  # audio.samples (float32), audio.sample_rate

speech = synth.speak("A long passage.")  # returns at once, plays in the background
speech.stop()  # cuts it off; speech.wait() blocks until it finishes instead

speak() synthesizes the first sentence on its own and plays it while the rest is synthesized in chunks that at most double in size, so speech starts after about 1.5 s on the NPU however long the text is.

Development

See CONTRIBUTING.md. uv run poe check runs everything CI does; none of it needs OpenVINO or an NPU.