@INPROCEEDINGS{0804Kim2003,
	AUTHOR = {Hyoung-Gook Kim and Edgar Berdahl and Nicolas Moreau and Thomas Sikora},
	TITLE = {Speaker Recognition Using MPEG-7 Descriptors},
	BOOKTITLE = {EUROSPEECH 2003},
	YEAR = {2003},
	MONTH = sep,
	ADDRESS = {Geneva, Switzerland},
	PDF = {http://elvera.nue.tu-berlin.de/files/0804Kim2003.pdf},
	ABSTRACT = {Our  purpose  is  to  evaluate  the  efficiency  of MPEG-7  audio descriptors  for  speaker  recognition.  The  upcoming  MPEG-7 standard  provides  audio  feature  descriptors, which are useful for many  applications. One  example  application is a speaker recognition  system,  in  which  reduced-dimension  log-spectral features based on MPEG-7 descriptors are used to train hidden Markov models for individual speakers. The feature extraction based  on MPEG-7  descriptors  consists  of  three main  stages:Normalized  Audio  Spectrum  Envelope  (NASE),  Principal Component  Analysis  (PCA)  and  Independent  Component Analysis (ICA). An experimental study is presented where the speaker  recognition  rates  are  compared  for different feature extraction  methods. Using ICA, we achieved better results than NASE and PCA in a speaker recognition system.}
}