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What is Seeduplex?

Seeduplex is a state-of-the-art full-duplex speech large language model that utilizes an innovative “listen while speaking” approach to enable voice interactions that are more natural, fluid, and accurately timed. In contrast to traditional half-duplex systems that alternate between listening and responding, Seeduplex continuously processes and understands user audio, allowing for simultaneous listening and speaking while remaining attuned to the surrounding soundscape. Its sophisticated interference suppression technology effectively distinguishes authentic user input from various background noises, such as music, announcements, navigation prompts, and overlapping dialogues, significantly reducing the chances of incorrect responses and interruptions in complex situations. Additionally, Seeduplex combines both speech and semantic features to achieve dynamic endpoint detection, enabling it to recognize when a user is considering, hesitating, correcting themselves, or has finished speaking. This model showcases its capability to patiently wait through thoughtful pauses, deliver quick replies immediately after a statement, and smoothly halt speech when interrupted, promoting a more engaging conversational experience. By focusing on creating interactions that feel more instinctive and responsive, the Seeduplex design ultimately seeks to elevate the overall user experience in voice communication. Its innovative features not only enhance clarity but also foster a sense of connection between users and technology.

What is Cartesia Ink 2?

Ink 2 is Cartesia’s latest and most sophisticated streaming speech-to-text model, tailored specifically for production voice agents, and it features the industry's lowest word error rate alongside exceptional turn detection capabilities. This model shines in its ability to accurately transcribe structured data such as phone numbers, dates, and email addresses on the initial attempt, while also instinctively identifying when a speaker starts and stops talking, thus negating the requirement for a separate voice activity detection system. The built-in turn detection facilitates seamless responses from voice agents to various events, eliminating the hassle of analyzing raw transcript fragments. Ink 2 produces a detailed array of turn events that provide agents with clear indicators on when to listen, interrupt, reflect, prepare to respond, retract an inappropriate response, or engage in dialogue. Furthermore, the transcript maintains a cumulative format throughout each turn, ensuring that every update reflects the entire text transcribed up to that moment rather than merely highlighting incremental changes, with the emitted text being deemed final immediately upon transmission. This cutting-edge design significantly elevates the quality of interactions between voice agents and users, fostering smoother and more effective conversations while enhancing overall user experience. Ultimately, Ink 2 represents a significant leap forward in the realm of speech recognition technology.

Media

Media

Integrations Supported

MachinesFluent

Integrations Supported

MachinesFluent

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ByteDance

Date Founded

2012

Company Location

China

Company Website

seed.bytedance.com/en/seeduplex

Company Facts

Organization Name

Cartesia

Date Founded

2023

Company Location

United States

Company Website

docs.cartesia.ai/build-with-cartesia/stt/latest

Categories and Features

Categories and Features

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