How Speaker Identification Affects Technology


Prosodic parameters deliver a huge amount of information, placed in a special context. This enables software providers to use it in concrete application scenarios like emotion detection. Speaker Identification is an important example of voice-based technologies like voice and speech recognition to let technologies run more stable.

Advantages of Speaker Identification

Voice and emotion recognition is based on the variation of voice characteristics. To deliver the best result for everyone, the use of speaker identification is unavoidable. It aims for more individual analysis results that make a technology flexible depending on who uses it.

Self-learning AI Adapts to Speakers

To prevent important information about the characteristics of the speaker from being lost as soon as different people use the speaker system, the identification module must be combined with a self-learning technique to improve the self-learning possibilities of the system. A speaker adaptation scheme is introduced for fast short-term and detailed long-term adaptation. These adaptation profiles are then used for an efficient speaker recognition system and enable the speaker adaptation to track different speakers. In the long term, this approach provides an optimal adaptation.

Data Privacy must be guaranteed

Since this is sensitive data, a high level of data protection must be ensured. Therefore, it is important to work according to the General Data Protection Regulations (GDPR) so that no data is stored on remote servers.

Taken further, speaker identification can also be thought of as a safety barrier and made implementable. True to the motto: what is recognized can be made undetectable. In the context of recordings in public spaces, where systems are only supposed to record certain speakers, the use of Speaker Identification can be a possible means of securing privacy.

Blog signed by: AUD team

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Key Facts

  • Project Coordinator: Dr. Sotiris Ioannidis
  • Institution: Foundation for Research and Technology Hellas (FORTH)
  • E-mail: 
  • Start: 01.01.2021
  • Duration: 36 months
  • Participating Organisations: 17
  • Number of countries: 12

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This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.