Subjective evaluation and analysis of auditory attributes for underwater noise | Zendy

Na Wang | Zendy; Kean Chen | Zendy; Huang Huang | Zendy

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Subjective evaluation and analysis of auditory attributes for underwater noise

Author(s) -

Na Wang,

Kean Chen,

Huang Huang

Publication year - 2009

Publication title -

acta physica sinica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.199

H-Index - 47

ISSN - 1000-3290

DOI - 10.7498/aps.58.7330

Subject(s) - loudness , multidimensional scaling , computer science , noise (video) , principal component analysis , underwater , curse of dimensionality , speech recognition , space (punctuation) , scaling , acoustics , pattern recognition (psychology) , mathematics , artificial intelligence , physics , machine learning , geology , computer vision , geometry , image (mathematics) , operating system , oceanography

Dimensionality and the corresponding physical characteristics of auditory attribute space for equal-loudness underwater noise are investigated. Firstly, cluster analysis and questionnaire surveys are performed to obtain a number of auditory attribute descriptors in Chinese language, and then based on paired comparison and semantic differential approach, a dissimilarity matrix and a subjective evaluation value of each descriptor are obtained. Finally, by use of multidimensional scaling and principal component analysis, auditory attribute space of underwater noise with equal-loudness and equal-duration is determined and then the five-dimensional space is composed by dark-roughness, fluctuation, fast-variety, sharpness and regularity.

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