Descripción
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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. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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IEEE SIGNAL PROCESSING LETTERS |
ISSN
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1070-9908 |
Factor de impacto JCR
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1,173 |
Información de impacto
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Volumen
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17 |
DOI
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Número de revista
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7 |
Desde la página
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659 |
Hasta la página
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662 |
Mes
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JULIO |
Ranking
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