@INPROCEEDINGS { Rsds2983,
author = {Wieczorkowska, Alicja and Synak, Piotr}, 
title = {Some Issues on Detecting Emotions in Music}, 
booktitle = {Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Part II}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 3642, 
pages = {314--322}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
month = {August}, 
year = 2005, 
editor = {Slezak, Dominik and Yao, Jing Tao and Peters, James F. and Ziarko, Wojciech and Hu, Xiaohua}, 
issn = {0302-9743}, 
isbn = {3-540-28660-8}, 
abstract = {Investigating subjective values of audio data is both interesting and pleasant topic for research, gaining attention and popularity among researchers recently. We focus on automatic detection of emotions in songs/audio files, using features based on spectral contents. The data set, containing a few hundreds of music pieces, was used in experiments. The emotions are grouped into 13 or 6 classes. We compare our results with tests on human subjects. One of the main conclusions is that multi-label classification is required.}, 
keywords = {music information retrieval, sound analysis, }, 
}