Start of funding 01.01.2009

Speaker identification and classification of speaker characteristics

Prof. Dr. Elmar Nöth
Friedrich-Alexander-University of Erlangen-Nuremberg
Computer Science Department 5 - Pattern Recognition Lab

Prof. Dr. Elizabeth Shriberg
SRI International
STAR Laboratory



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.

Final report:
In the scope of the project, we developed syllable based constraints to select the most salient frames (of cepstral features) to train an acoustic speaker verification system [1]. The system was then integrated as a submodule in a complex speajer verification system, which combined feature-based and channel-based analysis methods to model intrinsic speaker variability for speaker verification [2].

[1] Bocklet, Tobias; Shriberg, Elizabeth. Speaker Recognition Using Syllable-Based Constraints for Cepstral Frame Selection.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4525-4528, 2009, ISBN 978-1-4244-2354-5

[2] Graciarena, Martin; Bocklet, Tobias; Shriberg, Elizabeth; Stolcke, Andreas; Kajarekar, Sachin. Feature-Based and Channel-Based Analyses of Intrinsic Variability in Speaker Verification.
Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009), vol. 1, pp. 2015-2018, 2009