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» Mel Frequency Cepstral Coefficients for Music Modeling
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ISMIR
2000
Springer
168views Music» more  ISMIR 2000»
15 years 9 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»
15 years 11 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»
15 years 4 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»
15 years 5 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»
16 years 5 days 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