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Average Ratings 0 Ratings
Description
Ink 2 represents Cartesia's most advanced and precise streaming speech-to-text model, designed specifically for production voice agents, boasting the lowest word error rate and superior turn detection of any available streaming STT. This model excels in accurately transcribing structured data types like phone numbers, dates, and email addresses on the first attempt, while intuitively recognizing when a speaker begins and ends their speech, eliminating the need for a separate voice activity detection mechanism. Integrated turn detection allows voice agents to respond to events seamlessly, rather than sifting through raw transcript segments. Ink 2 generates a comprehensive array of turn events, providing agents with definitive cues regarding when to listen, interrupt, contemplate, prepare to respond, retract an untimely reply, or engage in conversation. Additionally, the transcript retains a cumulative nature within each turn, ensuring that every update presents the complete text transcribed up to that point rather than just the incremental changes, and the emitted text is considered final the moment it is sent. This innovative design enhances the interaction quality between voice agents and users, making conversations smoother and more effective.
Description
Seeduplex represents a cutting-edge full-duplex speech large language model that operates on an innovative “listen while speaking” paradigm to facilitate more natural, fluid, and accurately timed voice interactions. Unlike conventional half-duplex systems that switch between listening and responding, it continually processes and comprehends audio from the user, enabling simultaneous listening and speaking while being aware of the surrounding acoustic environment. Its advanced interference suppression capabilities effectively differentiate genuine user input from background distractions such as noise, broadcasts, navigation cues, and overlapping conversations, thereby minimizing incorrect responses and disruptions in intricate scenarios. Furthermore, Seeduplex integrates both speech and semantic features for dynamic endpoint detection, allowing it to discern when a user is contemplating, pausing, correcting themselves, or has completed their statement. This model exhibits the ability to patiently endure reflective silences, provide swift responses immediately after an utterance concludes, and seamlessly cease speaking when interrupted, ensuring a more engaging interaction. Ultimately, the design of Seeduplex aims to enhance user experience by making voice communication feel more intuitive and responsive.
API Access
Has API
Yes
API Access
Has API
No
Integrations
MachinesFluent
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cartesia
Founded
2023
Country
United States
Website
docs.cartesia.ai/build-with-cartesia/stt/latest
Vendor Details
Company Name
ByteDance
Founded
2012
Country
China
Website
seed.bytedance.com/en/seeduplex