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Audio Feature Analysis

  • Tong Zhang
  • C.-C. Jay Kuo
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 606)

Abstract

There are, in general, two types of audio features: the physical features and the perceptual features. Physical features refer to mathematical measurements computed directly from the sound wave, such as the energy function, the spectrum, the cepstral coefficients, the fundamental frequency, and so on. Perceptual features are subjective terms which are related to the perception of sounds by human beings, including loudness, brightness, pitch, timbre, rhythm, etc. In this research, we use the temporal curves of three kinds of short-time physical features, i.e. the energy function, the average zero-crossing rate, and the fundamental frequency, as well as the spectral peak tracks for the purpose of coarse-level audio segmentation and classification. While for the fine-level classification and retrieval, one of our most important tasks is to build physical and mathematical models for the perceptual audio features with which human beings distinguish the subtle differences among different classes of sounds. Currently, we consider two kinds of perceptual features in this work, i.e. timbre and rhythm.

Keywords

Fundamental Frequency Speech Signal Audio Signal Environmental Sound Audio Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Tong Zhang
    • 1
  • C.-C. Jay Kuo
    • 2
  1. 1.Integrated Media Systems CenterUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Department of Electrical Engineering — SystemsUniversity of Southern CaliforniaLos AngelesUSA

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