DocumentCode
508375
Title
Spectral Analysis for Emotion Recognition by NMF Features
Author
Jeong, Kyungjoong ; Song, Jaiyoun ; Jeong, Hong
Author_Institution
Adv. Signal Process. Lab., Pohang Univ. of Sci. & Technol., Pohang, South Korea
Volume
5
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
121
Lastpage
125
Abstract
In this paper, we propose a new algorithm, which is using NMF features and which is different from traditional algorithms using temporal variations of the spectrogram. The proposed algorithm has been tested in several different ways by varying NMF and the speech database. The experimental results show performance of 90% and classification success of 77% for speaker dependent and independent cases, respectively.
Keywords
emotion recognition; spectral analysis; NMF features; emotion recognition; spectral analysis; spectrogram; speech database; Emotion recognition; Feature extraction; Laboratories; Signal processing algorithms; Spatial databases; Spectral analysis; Spectrogram; Speech analysis; Speech processing; Testing; Emotion recognition; Feature extraction; Non-negative matrix factorization; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.638
Filename
5366996
Link To Document