Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2016 9 (4)
- Authors
- Sidorov, Maxim; Minker, Wolfgang; Semenkin, Eugene S.
- Contact information
- Sidorov, Maxim:Institute of Communications Engineering, Ulm University, Albert-Einstein-Allee, 43, Ulm, 89081 Germany; ; Minker, Wolfgang: Institute of Communications Engineering, Ulm University, Albert-Einstein-Allee, 43, Ulm, 89081 Germany; ; Semenkin, Eugene S.: Informatics and Telecommunications Institute Reshetnev Siberian State Aerospace University Krasnoyarskiy Rabochiy, 31, Krasnoyarsk, 660037 Russia;
- Keywords
- emotion recognition from speech; speaker identification from speech; machine learning algorithms; speaker adaptive emotion recognition from speech
- Abstract
In this paper we present the performance of different machine learning algorithms for the problems of speech-based Emotion Recognition (ER) and Speaker Identification (SI) in static and dynamic modes of speech signal representation. We have used a multi-corporal, multi-language approach in the study. 3 databases for the problem of SI and 4 databases for the ER task of 3 different languages (German, English and Japanese) have been used in our study to evaluate the models. More than 45 machine learning algorithms were applied to these tasks in both modes and the results alongside discussion are presented here
- Pages
- 518-523
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/29999
Journal of Siberian Federal University. Mathematics & Physics / Speech-based Emotion Recognition and Speaker Identification: Static vs. Dynamic Mode of Speech Representation
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