Please note that the ITEA Office will be closed from 25 December 2024 to 1 January 2025 inclusive.
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
- 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)