Piper TTS Integration for Offline Speech Synthesis

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Piper TTS Integration for Offline Speech Synthesis
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Piper TTS Integration for Offline Speech Synthesis

Piper — fast open-source neural TTS from Home Assistant team. Works offline, voice models 50–500 MB, CPU inference in real-time. Supports Ukrainian and 40+ other languages. Apache 2.0 license.

Characteristics

  • Speed: real-time factor 0.1–0.5 on modern CPU (generation faster than playback)
  • Quality: MOS ~3.8/5 for best voices (inferior to ElevenLabs, but acceptable for most use cases)
  • Model size: low (30 MB), medium (60 MB), high quality (250 MB+)

Usage

echo "Привіт, це офлайн синтез мовлення." | piper --model uk_UA-tanya-medium.onnx --output_file speech.wav

Python API via piper-phonemize + onnxruntime.

Voices for Ukrainian Language

uk_UA-tanya-medium — female voice, good quality. uk_UA-pavlo-medium — male voice, different timbre. Adding custom voice: requires 1–3 hours of recording + training (Coqui VITS).

Application

Smart home voice notifications, offline chatbot TTS, industrial HMI, embedded systems (Pi, Jetson Nano), corporate systems with data residency requirements.

Comparison with Alternatives

Piper Coqui XTTS ElevenLabs
Offline Yes Yes No
Quality Good Excellent Superior
Latency <100 ms 200–500 ms 100–300 ms (API)
Custom voice Difficult Easy Easy

Integration Timeframe: 2–3 days