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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 PolygrAI?

PolygrAI presents an innovative platform that provides instant feedback on emotional conditions and the probability of dishonesty. Our intuitive desktop application streamlines the process of conducting polygraph tests—simply initiate the program, choose your video input, and witness the results unfold. This interface allows users to delve deeper than just verbal expressions, uncovering significant subconscious revelations. The primary metric is comprehensive yet easily digestible, enabling a clear understanding of the emotional dynamics at play during the examination. Emotions are categorized in a structured manner, distinguishing between primary, secondary, and tertiary feelings identified throughout the evaluation. When you choose a subject, the application intelligently filters out other individuals captured in the video feed, enhancing precision. Moreover, our desktop software is equipped with an array of additional features designed to promote more effective and efficient evaluations. Users can take advantage of the default screen capturing function that integrates effortlessly with any software, or they may connect via a USB camera for improved capabilities. This combination of features guarantees that each examination is not only insightful but also user-friendly, paving the way for more accurate assessments in the future. With such advancements, PolygrAI is set to revolutionize the way polygraph tests are conducted.

Media

Media

Integrations Supported

Google Meet
Microsoft Teams
Skype
WhatsApp
Zoom

Integrations Supported

Google Meet
Microsoft Teams
Skype
WhatsApp
Zoom

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$28/month
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

Vokaturi

Date Founded

2016

Company Website

vokaturi.com

Company Facts

Organization Name

PolygrAI

Company Website

polygr.ai/

Categories and Features

Emotion Recognition

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

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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