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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 Good Vibrations Company (GVC)?

In multiple applications of GVC, the first step is to identify emotions: users speak for a few seconds, allowing the GVC Emotion Recognition algorithm to analyze various acoustic features of their voice to gain insight into their emotional state. The results generated by our emotion recognition system can subsequently inform other algorithms to determine appropriate responses for the user. At GVC, we prioritize feedback types that improve both user performance and overall quality of life, which involves examining signals from the user’s voice, heart, lungs, and other physiological systems. The GVC concept has been implemented across a variety of demonstration applications, all using a set of proprietary algorithms designed to evaluate different elements of the user’s speech, such as the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms. Through this integration, we aim to enhance the user experience by ensuring that the responses are not only timely but also tailored to their emotional needs. By leveraging cutting-edge technology, we work to cultivate a more profound connection between users' emotional states and the feedback that they receive, thereby enriching their interactions. This holistic approach ultimately fosters an environment where users feel understood and supported.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Vokaturi

Date Founded

2016

Company Website

vokaturi.com

Company Facts

Organization Name

Good Vibrations Company

Date Founded

2011

Company Location

Netherlands

Company Website

good-vibrations.nl/

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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Good Vibrations Company (GVC) Reviews & Ratings

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Good Vibrations Company

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