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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.638
