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features
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support

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Description

Utilizing language as a lens, one can uncover various personality traits and motivations. Receptiviti aligns these traits with the Big Five personality model, encompassing 35 distinct personality measures. By assessing elements like authenticity, influence, and social connection, it becomes possible to gain insight into how individuals navigate social environments. Additionally, this analysis reveals the underlying drivers of behavior, whether they stem from aspirations for success and self-fulfillment, a desire for power, the pursuit of rewards, aversion to risks, or tendencies toward risk-taking. Furthermore, it can identify harmful or aggressive language that conveys bias, hate, or violence against specific demographic groups. The capability to ascertain the authorship of written content makes this tool particularly valuable in fields such as literary analysis, cybersecurity, forensic investigations, and the scrutiny of social media interactions, thereby enhancing our understanding of communication in various contexts. In a world increasingly shaped by digital interactions, the implications of these insights are both profound and far-reaching.

Description

Vokaturi software exemplifies cutting-edge technology in recognizing emotions through vocal cues. Crafted and continually refined by Paul Boersma, a professor at the University of Amsterdam and the chief creator of the renowned speech analysis tool Praat, its algorithms are at the forefront of this field. This innovative software can accurately assess whether a speaker is feeling happy, sad, fearful, angry, or neutral based solely on their voice. The open-source variant of Vokaturi provides impressive accuracy in distinguishing these five emotions, even when encountering a speaker for the first time. In contrast, the "plus" version offers performance that rivals that of an experienced human listener. Developers have the option to seamlessly integrate Vokaturi into their applications, making it a versatile tool for various uses. Licensing options are flexible, allowing users to select either a free open-source license or a paid one for enhanced features. Overall, Vokaturi presents an accessible yet powerful solution for emotion recognition in voice applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Unified.to

Integrations

Unified.to

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

Receptiviti

Founded

2015

Country

Canada

Website

www.receptiviti.com/platform

Vendor Details

Company Name

Vokaturi

Founded

2016

Website

vokaturi.com

Product Features

Emotion Recognition

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

Product Features

Emotion Recognition

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

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Alternatives

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