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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
API Access
Has API
Integrations
JSON
Python
Pricing Details
$69 one-time payment
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
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
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech