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ease
features
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support

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Description

At Cepstral, we concentrate solely on Text-to-Speech technology. Our mission is to develop lifelike synthetic voices capable of delivering messages with personality and flair, regardless of the platform. Whether it’s a compact device or an extensive installation, our voices transform content into engaging audio experiences on demand. By converting text into clear and natural speech, Cepstral enhances your ability to communicate effectively. Our text-to-speech solutions are designed for seamless integration with your existing systems and software architecture. Additionally, our dedicated support team is available to assist you with any inquiries. We invite you to reach out and discover how we can support your needs. Cepstral specializes in providing advanced speech technologies and services that facilitate the spoken transmission of information. Our high-quality, natural-sounding voices are developed for a variety of applications, including handheld devices, desktops, and servers. The ease of integration and efficient memory use of our technology make it a versatile choice for developers. Moreover, we have pioneered innovative methods for creating both general-purpose and specialized "domain voices," enabling the spoken output to be customized to suit specific applications. This flexibility ensures that your audio content resonates with your audience in a meaningful way.

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

JSON
Python
TextSpeech Pro

Integrations

JSON
Python
TextSpeech Pro

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

Cepstral

Country

United States

Website

www.cepstral.com/en

Vendor Details

Company Name

Rhasspy

Country

United States

Website

github.com/rhasspy/piper

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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