ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
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Voice recognition and sentiment analysis system

Project
17020 POLDER
Type
New system
Description
  • This system is an autonomous real time tool for obtaining information regarding the satisfaction, disgust, conformity, etc. This information is useful for improve the services under study and adapt them to the customers/users requirements
  • This system can be integrated with real time communication platforms
Contact
Yudani Riobó, Quobis Networks SL
Email
udani.riobo@quobis.com
Technical features

Input(s):

  • Audio source
  • Video source

Main feature(s):

  • Identification of language
  • Voice transcription
  • Real time analysis about positive or negative sentiments

Output(s):

  • Language
  • Real time information about positive or negative sentiments (absolute and subjective values)
Integration constraints

This system requires good quality audio sources.

Targeted customer(s)

Service providers, contact centers, telcos.

Conditions for reuse

Licensing

Confidentiality
Public
Publication date
21-06-2022
Involved partners
Quobis (ESP)