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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 Phonexia Speech Platform?

Phonexia offers an extensive array of innovative voice recognition and voice biometrics technologies designed to fulfill the requirements of both commercial enterprises and government entities. Their products leverage the latest breakthroughs in artificial intelligence, voice biometrics research, acoustics, and phonetics, resulting in solutions that are exceptionally accurate, rapid, and scalable. With Phonexia's AI-driven offerings, users can create voicebots and authenticate speaker identities through voice biometrics. Additionally, the platform enables the transcription of spoken words into written text and allows for the identification of speakers within large audio datasets. This advanced voice biometric authentication simplifies the process of accessing client information while also providing robust fraud detection capabilities. As a result, organizations can enhance their security measures and streamline operations effectively.

Media

Media

Integrations Supported

SYSTRAN
Vocalls

Integrations Supported

SYSTRAN
Vocalls

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

Phonexia

Company Location

Czech Republic

Company Website

www.phonexia.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

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

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