Text-to-speech Sourced statement

Piper (voices) on Raspberry Pi 5

Benchmark pending. We haven't measured this pair yet. Below is what the sources say about this hardware, quoted with links.

Hobbyist single-board computer. Common for Home Assistant voice and offline assistants. Small models only.

EvidenceSourced statement
Commercial useConditional
LicenseVoices repo: MIT; engine (piper1-gpl): GPL-3.0
Stated memoryNot stated
Device memory8 GB RAM

Results

Benchmark pending. No measured numbers from us yet for Piper (voices) on Pi 5. Get notified or send us your numbers (with the method).

What the sources say about Pi 5

  • Third-party docs Home Assistant docs: Piper is 'optimized for the Raspberry Pi 4'; on a Raspberry Pi with medium-quality voices it generates 1.6 s of voice per second. source
    Caveat: Refers to Raspberry Pi 4; a Pi 5 should be faster but we haven't measured it

Method

We haven't run this pair. Everything on this page is quoted from the linked sources, with the source type labelled (model authors vs third parties). Vendor numbers are often measured under favourable conditions.

Ways to run Piper (voices)

RuntimePrecisionDocumented devices
piper-tts (onnxruntimefp32 ONNX voicesCPU (optional --cuda)source

Run it

pip install piper-tts
python -m piper.download_voices en_US-lessac-medium
python -m piper -m en_US-lessac-medium -f out.wav -- 'This is a test.'

We ran this exact command on our test box on 2026-10-21.

Caveats

  • Refers to Raspberry Pi 4; a Pi 5 should be faster but we haven't measured it

New open speech models: will they run on your hardware?

One email a week: new open TTS/STT models, license gotchas, and what we measured on CPUs, Macs, Pis and consumer GPUs.