Speech Emotion Recognition Using MFCCs Extracted from a Mobile Terminal based on ETSI Front End

Author

Beritelli, Francesco ; Casale, S. ; Russo, A. ; Serrano, S. ; Ettorre, D.

Author_Institution

Dipt. di Ingegneria Inf. e delle Telecomunicazioni, Univ. degli Studi di Catania

Volume

2

fYear

2006

fDate

16-20 Nov. 2006

Abstract

The importance of automatically recognizing emotions from human speech has grown with the increasing role of spoken language interface in man-machine applications. The paper presents a system for the recognition of emotional states based on parameters extracted at the front end of a mobile terminal according to the ETSI ES 202 050 standard. Starting from a vector of various features derived from energy and MFCCs, an approach based on genetic algorithms is used to determine a subset of features that will allow robust speech classification of 7 emotional states: anger, joy, sadness, fear, disgust, boredom and neutral

Keywords

emotion recognition; feature extraction; genetic algorithms; mobile radio; signal classification; speech recognition; telecommunication terminals; ETSI front end; genetic algorithms; human speech; man-machine applications; mel-frequency spectral coefficient extraction; mobile terminal; parameter extraction; speech classification; speech emotion recognition; spoken language interface; Automatic speech recognition; Emotion recognition; Genetic algorithms; Humans; Man machine systems; Natural languages; Psychology; Robustness; Spatial databases; Telecommunication standards;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.345670

Filename

4129151