Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Gemini 2.5 Flash TTS model represents the latest advancement in Google’s Gemini 2.5 series, focusing on rapid, low-latency speech synthesis that produces expressive and controllable audio output. This model introduces notable improvements in tonal variety and expressiveness, enabling developers to create speech that aligns more closely with style prompts, whether for storytelling, character portrayals, or other contexts, thus achieving a more authentic emotional depth. With its precision pacing feature, it can adjust the speed of speech based on the context, allowing for quicker delivery in certain sections while also slowing down for emphasis when required, following specific instructions. Additionally, it accommodates multi-speaker dialogues with consistent character voices, making it suitable for various scenarios such as podcasts, interviews, and conversational agents, while also enhancing multilingual capabilities to maintain each speaker's distinct tone and style across different languages. Optimized for reduced latency, Gemini 2.5 Flash TTS is particularly well-suited for interactive applications and real-time voice interfaces, ensuring a seamless user experience. This innovative model is set to redefine how developers implement voice technology in their projects.
Description
Griffin serves as Tavus’s inaugural Human Interaction Model, a sophisticated full-duplex video-to-video system crafted to comprehend and produce real-time face-to-face human interactions. In contrast to conventional conversational systems that tackle speech recognition, language modeling, and speech synthesis in a linear manner, Griffin operates by continuously absorbing audio and video inputs, making instantaneous decisions about responses, and concurrently delivering expressive speech and visual output. It carefully considers not just the spoken words but also the subtleties of tone, eye contact, facial expressions, gestures, pauses, interruptions, and the broader visual environment. The model is capable of backchanneling, yielding or taking conversational turns, effectively responding to interruptions, maintaining engagement during moments of silence, and adapting its emotional tone and nonverbal cues as the dialogue evolves. Moreover, Griffin is adept at generating a comprehensive visual scene from a reference image, capturing elements like the face, body, hands, chair movements, shadows, and background, which allows it to present more than just a talking head in conversation. This advanced functionality enhances the overall authenticity and richness of human-like interaction.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Gemini
Yes
Gemini 2.5 Flash
Yes
Gemini 2.5 Pro
Yes
Gemini Enterprise Agent Platform
Yes
Google AI Studio
Yes
Tavus
No
Integrations
Gemini
No
Gemini 2.5 Flash
No
Gemini 2.5 Pro
No
Gemini Enterprise Agent Platform
No
Google AI Studio
No
Tavus
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$22 per month
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
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
Founded
1998
Country
United States
Website
blog.google/technology/developers/gemini-2-5-text-to-speech/
Vendor Details
Company Name
Tavus
Founded
2020
Country
United States
Website
www.tavus.io/griffin
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