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features
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support

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Description

Piper is a rapidly operating, localized neural text-to-speech (TTS) system that is particularly optimized for devices like the Raspberry Pi 4, aiming to provide top-notch speech synthesis capabilities without the dependence on cloud infrastructure. It employs neural network models developed with VITS and subsequently exported to ONNX Runtime, which facilitates both efficient and natural-sounding speech production. Supporting a diverse array of languages, Piper includes English (both US and UK dialects), Spanish (from Spain and Mexico), French, German, and many others, with downloadable voice options available. Users have the flexibility to operate Piper through command-line interfaces or integrate it seamlessly into Python applications via the piper-tts package. The system boasts features such as real-time audio streaming, JSON input for batch processing, and compatibility with multi-speaker models, enhancing its versatility. Additionally, Piper makes use of espeak-ng for phoneme generation, transforming text into phonemes before generating speech. It has found applications in various projects, including Home Assistant, Rhasspy 3, and NVDA, among others, illustrating its adaptability across different platforms and use cases. With its emphasis on local processing, Piper appeals to users looking for privacy and efficiency in their speech synthesis solutions.

Description

Zyphra is thrilled to unveil the beta release of Zonos-v0.1, which boasts two sophisticated and real-time text-to-speech models that include high-fidelity voice cloning capabilities. Our release features both a 1.6B transformer and a 1.6B hybrid model, all under the Apache 2.0 license. Given the challenges in quantitatively assessing audio quality, we believe that the generation quality produced by Zonos is on par with or even surpasses that of top proprietary TTS models currently available. Additionally, we are confident that making models of this quality publicly accessible will greatly propel advancements in TTS research. You can find the Zonos model weights on Huggingface, with sample inference code available on our GitHub repository. Furthermore, Zonos can be utilized via our model playground and API, which offers straightforward and competitive flat-rate pricing options. To illustrate the performance of Zonos, we have prepared a variety of sample comparisons between Zonos and existing proprietary models, highlighting its capabilities. This initiative emphasizes our commitment to fostering innovation in the field of text-to-speech technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub
Hugging Face
JSON
Python

Integrations

GitHub
Hugging Face
JSON
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$0.02 per minute
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Rhasspy

Country

United States

Website

github.com/rhasspy/piper

Vendor Details

Company Name

Zyphra

Country

United States

Website

www.zyphra.com/post/beta-release-of-zonos-v0-1

Product Features

Text to Speech

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

Product Features

Text to Speech

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

Alternatives

Alternatives

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