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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 Behavioral Signals?

AI-Mediated Conversations (AI-MC) serves as an automated phone routing solution that leverages emotion AI and voice data to effectively connect customers with the most suitable agent for their needs. This intelligent matching process is informed by profile data and advanced algorithms, honed through extensive research in natural language processing and behavioral signal analysis. In every interaction, regardless of the context—be it sales, support, or collections—there exists an enabler that facilitates the achievement of mutual goals, often manifested in the formation of rapport between individuals. The dynamics of human interaction vary significantly, as the level of affinity between two people can profoundly influence the outcome of their communication. Certain personality traits and behaviors enhance our compatibility with specific individuals, thereby impacting the effectiveness of conversations aimed at boosting sales or improving collections. By strategically guiding these conversational dynamics, businesses can optimize their interactions. Additionally, our Oliver API acts as the driving force behind AI-MC, providing essential support for other integrations like Genesys and Uniiphore that seek to harness Emotion AI capabilities. This interconnected technological framework not only enhances customer experience but also streamlines operational efficiency across various platforms.

Media

Media

Integrations Supported

Genesys Cloud CX
Uniphore

Integrations Supported

Genesys Cloud CX
Uniphore

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

Behavioral Signals

Date Founded

2016

Company Location

United States

Company Website

behavioralsignals.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

Call Center

Blended Call Center
Call Logging
Call Recording
Call Scripting
Campaign Management
Database
Escalation Management
IVR / Voice Recognition
Inbound Call Center
Manual Dialer
Outbound Call Center
Predictive Dialer
Progressive Dialer
Queue Management
Real-time Chat
Reporting/Analytics

Customer Engagement

Analytics
Churn Management
Communication Management
Community Management
Content Syndication
Feedback Collection
Gamification
Live Chat
Video Content

Customer Satisfaction

360 Degree Feedback
Analytics
Call Reporting
Complaint Monitoring
Feedback Collection
Survey Management

Emotion Recognition

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

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