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ease
features
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support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

MachinesFluent

Integrations

MachinesFluent

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

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

Product Features

Product Features

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