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Histogram Equalization-Based Features for Speech, Music, and Song Discrimination
Citation
Gallardo Antolín, Ascensión and Montero Martínez, Juan Manuel (2010). Histogram Equalization-Based Features for Speech, Music, and Song Discrimination. "IEEE Signal Processing Letters", v. 17 (n. 7); pp. 659-662. ISSN 1070-9908. https://doi.org/10.1109/LSP.2010.2049877.
Description
| Title: | Histogram Equalization-Based Features for Speech, Music, and Song Discrimination |
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| Author/s: |
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| Item Type: | Article |
| Título de Revista/Publicación: | IEEE Signal Processing Letters |
| Date: | May 2010 |
| ISSN: | 1070-9908 |
| Volume: | 17 |
| Subjects: | |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Ingeniería Electrónica |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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.
More information
| Item ID: | 6969 |
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| DC Identifier: | https://oa.upm.es/6969/ |
| OAI Identifier: | oai:oa.upm.es:6969 |
| DOI: | 10.1109/LSP.2010.2049877 |
| Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5460954&tag=1 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 31 May 2011 08:43 |
| Last Modified: | 20 Apr 2016 16:05 |
