WAVELET-BASED FEATURE EXTRACTION FOR TIME-VARYING SOUND

摘要：

　　We present a wavelet-based feature extraction approach for evaluating sound quality of time-varying sounds.Triangular wavelets that are two-dimemional nonseparable wavelets are used for extracting features in both local and global region of the sounds.Various kinds of button sounds represented in the time-frequency plane are transformed into a multiscale pyramid consisting of three isotropic wavelet components along the horizontal,vertical and diagonal direction at each scale.We show that the iocal characteristics of the button sounds as well as global ones can be detected from the certain wavelet components.The relation between the features and the corresponding auditory impressions extracted by the semantic differential method is discussed.

关键词： Nonseparable wavelets button sound feature extraction auditory impression semantic differential method

作者: KENSUKE FUJINOKI SHUNSUKE ISHIMITSU

作者单位: Graduate School of Information Sciences, Hiroshima City University, Hiroshima 731-3194, Japan./Infor Graduate School of Information Sciences, Hiroshima City University, Hiroshima 731-3194, Japan.

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 251-255

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）