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» Mel Frequency Cepstral Coefficients for Music Modeling
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ISMIR
2000
Springer
168views Music» more  ISMIR 2000»
13 years 7 months ago
Mel Frequency Cepstral Coefficients for Music Modeling
We examine in some detail Mel Frequency Cepstral Coefficients (MFCCs) - the dominant features used for speech recognition - and investigate their applicability to modeling music. ...
Beth Logan
ISMIR
2005
Springer
182views Music» more  ISMIR 2005»
13 years 9 months ago
The Mel-Frequency Cepstral Coefficients in the Context of Singer Identification
The singing voice is the oldest and most complex musical instrument. A familiar singer’s voice is easily recognizable for humans, even when hearing a song for the first time. O...
Annamaria Mesaros, Jaakko Astola
TASLP
2008
133views more  TASLP 2008»
13 years 2 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
ENGL
2008
101views more  ENGL 2008»
13 years 3 months ago
Identifying Perceptually Similar Languages Using Teager Energy Based Cepstrum
Language Identification (LID) refers to the task of identifying an unknown language from the test utterances. In this paper, a new method of feature extraction, viz., Teager Energy...
Hemant A. Patil, T. K. Basu
ICMCS
2008
IEEE
187views Multimedia» more  ICMCS 2008»
13 years 10 months ago
Accommodating sample size effect on similarity measures in speaker clustering
We investigate the symmetric Kullback-Leibler (KL2) distance in speaker clustering and its unreported effects for differently-sized feature matrices. Speaker data is represented a...
Alexander Haubold, John R. Kender