Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
Yes
Integrations
Unified.to
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
Product Features
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No