Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Typically, vocal synthesis relies on intricate modeling algorithms that operate on the user's computer. This field has not yet achieved a level of realism that is completely convincing, and progress has been slow for a significant period. Emvoice, however, has adopted an innovative strategy. We have meticulously deconstructed recorded vocals to a granular level, capturing the components that constitute individual phonemes across various pitches. A sophisticated cloud-based engine then reconstructs thousands of samples, delivering the full vocal performance to your device via the internet. When you experience Emvoice One, you're not hearing something artificial; instead, it's the voice of a real singer interpreting your text. The Emvoice One plugin simplifies the process of programming notes and associating them with words, while our engine handles the complex task of recombining phonemes. Additionally, our system translates English words into phonemes, facilitating communication with the Emvoice, and it provides a range of pronunciation alternatives to enhance the versatility of the output. This unique blend of technology not only streamlines the user experience but also increases the authenticity of the vocal synthesis.
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
Integrations
JSON
No
Python
No
Pricing Details
$69 one-time payment
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
Yes
Mac
Yes
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
No
Live Rep (24/7)
Yes
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Emvoice
Country
United States
Website
emvoiceapp.com
Vendor Details
Company Name
Rhasspy
Country
United States
Website
github.com/rhasspy/piper
Product Features
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