Publication: Histogram Equalization-Based Features for Speech, Music and Song Discrimination
dc.affiliation.dpto | UC3M. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Procesado Multimedia | es |
dc.contributor.author | Gallardo Antolín, Ascensión | |
dc.contributor.author | Montero, Juan Manuel | |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | es |
dc.contributor.funder | Comunidad de Madrid | es |
dc.contributor.funder | Universidad Carlos III de Madrid | es |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte (España) | es |
dc.date.accessioned | 2021-06-18T10:48:20Z | |
dc.date.available | 2021-06-18T10:48:20Z | |
dc.date.issued | 2010-07 | |
dc.description.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. | en |
dc.description.sponsorship | This work was supported in part by the regional project Comunidad de Madrid-UC3M CCG08-UC3M/TIC-4457 and the Spanish Government Projects TEC2008-06382 and DPI2007-66846-C02-02. | en |
dc.format.extent | 4 | |
dc.identifier.bibliographicCitation | Gallardo-Antolin, A. & Montero, J. M. (2010). Histogram Equalization-Based Features for Speech, Music, and Song Discrimination. IEEE Signal Processing Letters, 17(7), pp. 659–662. | en |
dc.identifier.doi | https://doi.org/10.1109/LSP.2010.2049877 | |
dc.identifier.issn | 1070-9908 | |
dc.identifier.publicationfirstpage | 659 | |
dc.identifier.publicationissue | 7 | |
dc.identifier.publicationlastpage | 662 | |
dc.identifier.publicationtitle | IEEE Signal Processing Letters | en |
dc.identifier.publicationvolume | 17 | |
dc.identifier.uri | https://hdl.handle.net/10016/32892 | |
dc.identifier.uxxi | AR/0000007800 | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.projectID | Comunidad de Madrid. CCG08-UC3M/TIC-4457 | es |
dc.relation.projectID | Gobierno de España. TEC2008-06382 | es |
dc.relation.projectID | Gobierno de España. DPI2007-66846-C02-02 | es |
dc.rights | © 2010, IEEE | |
dc.rights.accessRights | open access | en |
dc.subject.eciencia | Telecomunicaciones | es |
dc.subject.other | Speech/Music/Song discrimination | en |
dc.subject.other | Audio classification | en |
dc.subject.other | HEQ-based features | en |
dc.subject.other | Acoustic features | en |
dc.subject.other | Parameterization | en |
dc.title | Histogram Equalization-Based Features for Speech, Music and Song Discrimination | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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