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Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 5 (Pattern Recognition) >>
Speaker identification and classification of speaker characteristics

The classification of speaker characteristics by a person's voice can be regarded as a classification task. The goal is to decide whether a speakers belongs to a specific speaker group. Speaker groups in this context are persons having specific characteristics in common like gender, age, country of birth, emotional state and so on. Even the identification of a speaker can be regarded as a classification of speaker groups, where the group contains exactly one person, i.e., the speaker himself. Thus, the classification of speaker characteristics can be achieved by means of speaker identification. The expected output of this project is the development of a generic system for the classification of speaker characteristics. The system will be evaluated on the two speaker characteristics age and language id / language of birth. The project will be concluded by a combination of the developed system with an existing speaker identification system.
Project manager:
Prof. Dr.-Ing. Elmar Nöth, Prof. Dr. Elizabeth Shriberg

Project participants:
Dr. rer. biol. hum. Tobias Bocklet

Keywords:
automatic speaker identification; age recognition; speaker characteristics; speech procession

Duration: 1.1.2009 - 21.12.2010

Sponsored by:
BaCaTec

Mitwirkende Institutionen:
Stanford Research Institute (SRI)

Contact:
Bocklet, Tobias
E-Mail: tobias.bocklet@cs.fau.de
Publications
Bocklet, Tobias ; Shriberg, Elizabeth: Speaker Recognition Using Syllable-Based Constraints for Cepstral Frame Selection. In: ICASSP (Ed.) : International Conference on Acoustics, Speech, and Signal Processing (ICASSP (IEEE International Conference on Acoustics, Speech, and Signal Processing Taipei, Taiwan 19.04. - 24.04.2009). 2009, pp 4525-4528. - ISBN 978-1-4244-2354-5
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