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Description
NeoSound Intelligence is an innovative AI technology firm dedicated to transforming emotions into actionable insights, aiming to enhance the quality of interactions between organizations and their customers. Our goal is to elevate all forms of communication that occur between consumers and businesses. By offering advanced AI-driven speech analytics tools, we assist call center operations in refining their customer engagement strategies. We empower organizations to convert phone calls into increased revenue. Our technology enables automatic listening to customer calls, facilitating the optimization of communication. NeoSound's tools provide valuable, actionable insights derived from phone conversations, enhancing the overall quality of customer interactions. Beyond mere speech-to-text capabilities, our intelligent algorithms conduct in-depth analyses of acoustics and intonation. This means our machines are trained to understand not only the words spoken but also the nuances of how they are expressed. Consequently, our solutions are tailored to meet the specific needs of your company with precision. NeoSound combines cutting-edge speech-to-text semantic analytics with comprehensive acoustic intonation analysis, providing a holistic approach to understanding customer communication. With our unique offerings, we strive to redefine the landscape of customer interactions.
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
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
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
NeoSound Intelligence
Founded
2018
Country
Netherlands
Website
www.neosound.eu/
Vendor Details
Company Name
ByteDance
Founded
2012
Country
China
Website
seed.bytedance.com/en/seeduplex
Product Features
Speech Analytics
Automatic Transcription
Call Center Management
Call Recording
Customer Experience Management
Data Security
Natural Language Processing
Predictive Analytics
Self-Service Search
Sentiment Analysis
Surveys & Feedback
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition