Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Bland Speech v3 is an innovative text-to-speech model that aims to generate voice audio that closely resembles that of a human, particularly in contexts like phone calls where overly polished speech may come off as inauthentic. This model captures essential human elements such as breathing, stutters, pauses, laughter, and throat-clearing by utilizing performance tags that are acted out rather than simply read. Users have the option to input their own scripts or utilize the Director feature to outline a conversation, allowing Bland to craft the dialogue, timing, and delivery prior to speech generation. Additionally, it offers voice cloning capabilities: a quick clone can be made from approximately 10 seconds of audio, whereas professional-grade cloning requires 30 minutes or more of verified audio, with users affirming that each voice belongs to them. Bland Speech can be accessed via a web studio and a single /v1/speak API endpoint, which employs bearer-key authentication for security. Audio is streamed through HTTP chunked transfer or WebSocket, returning PCM16 WAV files at a sample rate of 44.1 kHz, ensuring high-quality output for diverse applications. This versatility makes Bland Speech an essential tool for developers looking to enhance their audio experiences.
Description
Phonon serves as an open-weight text-to-speech (TTS) model and inference runtime designed for developers seeking to incorporate speech generation into applications that require local and offline audio capabilities. This innovative system transforms text into spoken audio and has the ability to stream speech in real-time as it is produced. The runtime offers interfaces for Rust and Python, a Swift package for iOS and macOS, JavaScript support for web browsers, and libraries for Android; it can also function as a self-hosted server compatible with OpenAI's API. Depending on the variant of the model used, it accommodates languages such as English, French, German, Spanish, and Portuguese. Phonon is tailored for developers aiming to integrate speech functionalities into mobile, desktop, web, embedded, and server applications, particularly in scenarios requiring offline access or enhanced privacy. The English model, which consists of 31 million parameters, is licensed under Apache 2.0, while the language-specific and multilingual models, featuring 40 million parameters, operate under CC BY-NC 4.0. Additionally, the runtime’s code is available under either the Apache 2.0 or MIT licenses, making it accessible for various development needs. This flexibility and wide-ranging support make Phonon a versatile choice for speech synthesis across different platforms.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Connect
Yes
Bland AI
Yes
Cal.com
Yes
Calendly
Yes
Five9
Yes
Genesys Cloud CX
Yes
HubSpot CRM
Yes
Hugging Face
No
Make
Yes
NiCE CXone Mpower
Yes
Integrations
Amazon Connect
No
Bland AI
No
Cal.com
No
Calendly
No
Five9
No
Genesys Cloud CX
No
HubSpot CRM
No
Hugging Face
Yes
Make
No
NiCE CXone Mpower
No
Pricing Details
$0.11 per minute
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Bland AI
Founded
2023
Country
United States
Website
www.bland.ai/speech
Vendor Details
Company Name
Gradium
Founded
2025
Country
France, United States
Website
gradium.ai/phonon
Product Features
Product Features
Alternatives
Alternatives
No Alternatives