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A perceptual model for sinusoidal audio coding based on spectral integration

为编码的正弦曲线声音的一个感性的模型基于光谱集成

作     者:van de Par, S Kohlrausch, A Heusdens, R Jensen, J Jensen, SH 

作者机构:Philips Res Labs Digital Signal Proc Grp NL-5656 AA Eindhoven Netherlands Eindhoven Univ Technol Dept Technol Management NL-5600 MB Eindhoven Netherlands Delft Univ Technol Dept Mediamat NL-2600 GA Delft Netherlands Aalborg Univ Inst Electron Syst Dept Commun Technol DK-9220 Aalborg Denmark 

出 版 物:《EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING》 (EURASIP信号处理进展杂志)

年 卷 期:2005年第2005卷第9期

页      面:1292-1304页

核心收录:

学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 

主  题:audio coding psychoacoustical modelling auditory masking spectral masking sinusoidal modelling psychoacoustical matching pursuit 

摘      要:Psychoacoustical models have been used extensively within audio coding applications over the past decades. Recently, parametric coding techniques have been applied to general audio and this has created the need for a psychoacoustical model that is specifically suited for sinusoidal modelling of audio signals. In this paper, we present a new perceptual model that predicts masked thresholds for sinusoidal distortions. The model relies on signal detection theory and incorporates more recent insights about spectral and temporal integration in auditory masking. As a consequence, the model is able to predict the distortion detectability. In fact, the distortion delectability defines a (perceptually relevant) norm on the underlying signal space which is beneficial for optimisation algorithms such as rate-distortion optimisation or linear predictive coding. We evaluate the merits of the model by combining it with a sinusoidal extraction method and compare the results with those obtained with the ISO MPEG-1 Layer I-II recommended model. Listening tests show a clear preference for the new model. More specifically, the model presented here leads to a reduction of more than 20% in terms of number of sinusoids needed to represent signals at a given quality level.

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