Piper is a fast, local neural text-to-speech (TTS) system developed by the Rhasspy team. Optimized for devices like the Raspberry Pi 4, Piper enables high-quality speech synthesis without relying on cloud services, making it ideal for privacy-conscious applications. It utilizes ONNX models trained with VITS to deliver natural-sounding voices across various languages and accents. Piper is particularly suited for offline voice assistants and embedded systems.

Features

  • Local neural TTS engine optimized for Raspberry Pi 4
  • Supports multiple languages and accents with downloadable voice models
  • Utilizes ONNX models trained with VITS for high-quality synthesis
  • Offers varying quality levels from x_low to high (16kHz to 22.05kHz)
  • Compatible with Rhasspy and other voice assistant platforms
  • Open-source under the MIT license

Project Samples

Piper TTS Screenshot 1

Project Activity

See All Activity >

Categories

Text to Speech, AI Models

License

MIT License

Follow Piper TTS

Piper TTS Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Piper TTS!

Additional Project Details

Operating Systems

Linux

Programming Language

C++

Related Categories

C++ Text to Speech Software, C++ AI Models

Registered

2025-06-02
Report inappropriate content