Auditory Spectral Summarisation for Audio Signals with Musical Applications

نویسندگان

  • Sam Ferguson
  • Densil Cabrera
چکیده

Methods for spectral analysis of audio signals and their graphical display are widespread. However, assessing music and audio in the visual domain involves a number of challenges in the translation between auditory images into mental or symbolically represented concepts. This paper presents a spectral analysis method that exists entirely in the auditory domain, and results in an auditory presentation of a spectrum. It aims to strip a segment of audio signal of its temporal content, resulting in a quasi-stationary signal that possesses a similar spectrum to the original signal. The method is extended and applied for the purpose of music summarisation.

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تاریخ انتشار 2009