Gallardo Antolín, Ascensión and Montero Martínez, Juan Manuel (2010) Histogram Equalization-Based Features for Speech, Music, and Song Discrimination. IEEE Signal Processing Letters, 17 (7). pp. 659-662. ISSN 1070-9908
Ver estadisticas de descargas para este eprint (solo desde ordenadores de la UPM)| Item Type: | Article | ||||||
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| Title: | Histogram Equalization-Based Features for Speech, Music, and Song Discrimination | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers, IEEE | ||||||
| Journal/Publication Title: | IEEE Signal Processing Letters | ||||||
| Date: | May 2010 | ||||||
| Volume: | 17 | ||||||
| Number: | 7 | ||||||
| Department: | Electronic Engineering | ||||||
| Faculty: | E.T.S.I. Telecommunication (UPM) | ||||||
| Creative Commons licenses: | Recognition - No derivative works - No commercial | ||||||
| Item ID: | 6969 | ||||||
| Subjects: | Telecommunications |
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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5460954&tag=1
Abstract
In this letter, we present a new class of segment-based features for speech, music and song discrimination. These features, called PHEQ (Polynomial-Fit Histogram Equalization), are derived from the nonlinear relationship between the short-term feature distributions computed at segment level and a reference distribution. Results show that PHEQ characteristics outperform short-term features such as Mel Frequency Cepstrum Coefficients (MFCC) and conventional segment-based ones such as MFCC mean and variance. Furthermore, the combination of short-term and PHEQ features significantly improves the performance of the whole system.
| Item Type: | Article |
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| Subjects: | Telecommunications |
| Código ID: | 6969 |
| Depositado Por: | Memoria Investigacion |
| Depositado el: | 31 May 2011 10:43 |
| Last Modified: | 31 May 2011 10:43 |
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