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What is Vokaturi?

Vokaturi software stands as a prime example of advanced technology designed to identify emotions through vocal expressions. Developed and continuously improved by Paul Boersma, a professor at the University of Amsterdam and the mastermind behind the widely-used speech analysis tool Praat, its algorithms lead the industry in this specialized area. This innovative software can determine whether a speaker is experiencing happiness, sadness, fear, anger, or neutrality based solely on vocal indicators. The open-source iteration of Vokaturi demonstrates remarkable precision in identifying these five emotions, even when analyzing a speaker for the first time. On the other hand, the "plus" version boasts capabilities that can compete with those of a seasoned human listener. Developers are provided with the flexibility to smoothly incorporate Vokaturi into their applications, which enhances its adaptability for a range of purposes. Licensing options cater to different needs, offering either a complimentary open-source license or a premium one for additional features. Overall, Vokaturi not only serves as an accessible solution for emotion recognition in voice applications but also pushes the boundaries of what technology can achieve in understanding human emotions. Its ongoing development suggests a commitment to improving emotional intelligence in communication technologies.

What is EchoDepth?

EchoDepth, created by Cavefish, functions as an Emotional Risk Intelligence tool that assesses how messages are likely to be perceived before they are actually sent, offering a risk score for various communication mediums, including video, voice, and text. Unlike conventional sentiment analysis, which merely classifies language as positive or negative after a message has been delivered, EchoDepth emphasizes the evaluation of observable delivery indicators and produces scored, timestamped reports that pinpoint moments of audience disengagement while recommending adjustments. This approach is rooted in the Facial Action Coding System standard, employing 44 Action Units that are calibrated across 14 cultural groups in six different nations, thus offering greater precision than typical image classification methods. Instead of directly labeling emotions, EchoDepth illustrates the activity of facial muscles, enabling context-based interpretation by human reviewers, which ensures a solid framework for responsible application. Its diverse applications include analyzing earnings calls and investor communications, identifying potential compliance issues related to FCA Consumer Duty, mitigating escalations in contact centers, evaluating the consistency of interviews, and bolstering defense strategies, demonstrating its adaptability across a wide range of situations. By harnessing this innovative technology, organizations are empowered to refine their communication strategies, ultimately leading to stronger connections and more meaningful engagements with their audiences. Moreover, the insights gained from EchoDepth can significantly inform future messaging approaches, further enhancing the effectiveness of communication initiatives.

Media

Media

Integrations Supported

Integrations Supported

AI/ML API

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$5000 per month
proof of concepts start at $25k

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Vokaturi

Date Founded

2016

Company Website

vokaturi.com

Company Facts

Organization Name

Cavefish Ltd

Date Founded

2023

Company Location

United Kingdom

Company Website

cavefish.ai

Categories and Features

Emotion Recognition

Not specified

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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