Gallardo Antolín, AscensiónMontero, Juan Manuel2021-06-182021-06-182010-07Gallardo-Antolin, A. & Montero, J. M. (2010). Histogram Equalization-Based Features for Speech, Music, and Song Discrimination. IEEE Signal Processing Letters, 17(7), pp. 659–662.1070-9908https://hdl.handle.net/10016/32892In 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.4eng© 2010, IEEESpeech/Music/Song discriminationAudio classificationHEQ-based featuresAcoustic featuresParameterizationresearch articleTelecomunicacioneshttps://doi.org/10.1109/LSP.2010.2049877open access6597662IEEE Signal Processing Letters17AR/0000007800