OHF-Voice/piper1-gpl

Fast and local neural text-to-speech engine

What it solves

Piper is a fast, local neural text-to-speech (TTS) engine designed to generate speech from text without relying on cloud services, ensuring privacy and low latency.

How it works

It uses neural networks to synthesize speech and embeds espeak-ng to handle phonemization (converting text into phonetic sounds).

Who it’s for

Developers building voice assistants, accessibility tools (like NVDA), or any application requiring high-performance, offline text-to-speech capabilities.

Highlights

  • Local execution for speed and privacy.
  • Multiple integration options including a CLI, Web server, Python API, and C/C++ API.
  • Support for training new custom voices.
  • Integrated with major projects like Home Assistant and LocalAI.

Related

  • Project
    nateshmbhat/pyttsx3

    A Python library for offline text-to-speech conversion that utilizes native system engines to generate voice output without an internet connection.

  • Project
    KoljaB/RealtimeTTS

    A Python library for low-latency text-to-speech that converts strings and LLM token streams into audio using a wide variety of local and cloud engines.

  • Project
    VOICEVOX/voicevox_engine

    VOICEVOX Engine is an HTTP server that provides Japanese text‑to‑speech (and singing) using the VOICEVOX neural TTS core. It offers endpoints for normal synthesis, streaming, voice‑style morphing, custom pronunciation dictionaries, presets, and cancellable synthesis. The engine can run on CPU or GPU, is packaged as Docker images, and is meant for developers integrating Japanese TTS into applications.

  • Project
    Uberi/speech_recognition

    A Python library that provides a unified interface for speech recognition, supporting multiple online and offline engines like OpenAI Whisper, Google Speech, and Vosk.

  • Project
    espeak-ng/espeak-ng

    A compact, open-source text-to-speech synthesizer using formant synthesis to support over 100 languages with a very small memory footprint.