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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 EmoVu?

EmoVu utilizes advanced AI and machine learning technologies to accurately analyze human emotions. The platform evaluates the emotional impact and effectiveness of video content tailored for particular target demographics. We invite creators of all video formats, whether brief or extensive, to submit their projects for testing with a diverse audience that is sensitive to emotional cues via our intuitive interface. You can examine the emotional impact of your messaging and its relevance to your creative pieces, assessing both individual scenes and the full video before launch. By enhancing emotional engagement, you can avoid financial losses associated with ineffective content. Take advantage of the platform right after distribution to track early signs of viewer engagement, social influence, viral potential, and performance statistics across different media channels. Boost the visibility of your content and allocate resources judiciously for effective campaign retargeting. Furthermore, campaigns that evoke emotional responses are proven to generate significantly greater profit increases than those that rely solely on logical reasoning. Engaging with EmoVu not only unlocks your content's full potential but also strategically aligns your budget for long-term success, ensuring that your future projects are well-positioned for maximum impact. In this way, you can create a sustainable cycle of engagement and profitability.

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

Eyeris

Company Location

United States

Company Website

www.emovu.com

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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