Audience

Developers and hobbyists searching for a solution to improve their neural text to speech operations

About Piper TTS

Piper is a fast, local neural text-to-speech (TTS) system optimized for devices like the Raspberry Pi 4, designed to deliver high-quality speech synthesis without relying on cloud services. It utilizes neural network models trained with VITS and exported to ONNX Runtime, enabling efficient and natural-sounding speech generation. Piper supports a wide range of languages, including English (US and UK), Spanish (Spain and Mexico), French, German, and many others, with voices available for download. Users can run Piper via the command line or integrate it into Python applications using the piper-tts package. The system allows for real-time audio streaming, JSON input for batch processing, and supports multi-speaker models. Piper relies on espeak-ng for phoneme generation, converting text into phonemes before synthesizing speech. It is employed in various projects such as Home Assistant, Rhasspy 3, NVDA, and others.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

Ratings/Reviews

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Company Information

Rhasspy
United States
github.com/rhasspy/piper

Videos and Screen Captures

Piper TTS Screenshot 1
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Product Details

Platforms Supported
Linux
Training
Documentation
Support
Online

Piper TTS Frequently Asked Questions

Q: What kinds of users and organization types does Piper TTS work with?
Q: What languages does Piper TTS support in their product?
Q: What kind of support options does Piper TTS offer?
Q: What type of training does Piper TTS provide?
Q: How much does Piper TTS cost?

Piper TTS Product Features

Text to Speech

API
Multi-Language Support
Different Voice Choices
Synchronize Speech
Audio Optimization
Adjust Speaking Rate / Pitch
Custom Lexicons