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Average Ratings 0 Ratings
Description
CereProc is thrilled to unveil CereWave AI, our cutting-edge neural text-to-speech system that utilizes state-of-the-art machine learning techniques. Available now through the CereVoice Cloud, CereWave AI delivers speech that surpasses the naturalness of existing text-to-speech solutions, offering unprecedented human-like emphasis and intonation. This innovative model synthesizes audio waveforms from the ground up, leveraging a deep neural network that has undergone extensive training on vast quantities of speech data. Throughout the training process, the network learns to capture the fundamental characteristics of various voices, enabling it to generate highly realistic speech waveforms. Not only does CereWave AI create a voice that closely mimics human speech, but it also allows comprehensive editing and customization, making it possible to adjust the speech to any language, gender, accent, or age. Remarkably, while traditional text-to-speech systems often require around 30 hours of recorded material, CereWave AI can produce a high-quality voice with only 4 hours of data, revolutionizing the field of speech synthesis. This advancement signifies a major leap forward in accessibility and versatility for developers and users alike.
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
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CereProc
Country
United Kingdom
Website
www.cereproc.com/en/v6
Vendor Details
Company Name
Rhasspy
Country
United States
Website
github.com/rhasspy/piper
Product Features
Text to Speech
API
No
Adjust Speaking Rate / Pitch
No
Audio Optimization
No
Custom Lexicons
No
Different Voice Choices
No
Multi-Language Support
No
Synchronize Speech
No
Product Features
Text to Speech
API
No
Adjust Speaking Rate / Pitch
No
Audio Optimization
No
Custom Lexicons
No
Different Voice Choices
No
Multi-Language Support
No
Synchronize Speech
No