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Description

ONNX provides a standardized collection of operators that serve as the foundational elements for machine learning and deep learning models, along with a unified file format that allows AI developers to implement models across a range of frameworks, tools, runtimes, and compilers. You can create in your desired framework without being concerned about the implications for inference later on. With ONNX, you have the flexibility to integrate your chosen inference engine seamlessly with your preferred framework. Additionally, ONNX simplifies the process of leveraging hardware optimizations to enhance performance. By utilizing ONNX-compatible runtimes and libraries, you can achieve maximum efficiency across various hardware platforms. Moreover, our vibrant community flourishes within an open governance model that promotes transparency and inclusivity, inviting you to participate and make meaningful contributions. Engaging with this community not only helps you grow but also advances the collective knowledge and resources available to all.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure SQL Edge
Cirrascale
Flyte
Groq
Higson
Intel Open Edge Platform
JSON
LaunchX
ML.NET
OpenVINO
Python
Qualcomm AI Hub
Qualcomm Cloud AI SDK
SiMa

Integrations

Azure SQL Edge
Cirrascale
Flyte
Groq
Higson
Intel Open Edge Platform
JSON
LaunchX
ML.NET
OpenVINO
Python
Qualcomm AI Hub
Qualcomm Cloud AI SDK
SiMa

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

ONNX

Website

onnx.ai/

Vendor Details

Company Name

Rhasspy

Country

United States

Website

github.com/rhasspy/piper

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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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