The sound analysis toolbox (SATB)

Tae Hong Park, Sumanth Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sound analysis software applications have become commonplace for exploring music and audio, and important factors including responsive/fast data visualization, flexible code development capabilities, availability of standard/ customizable libraries/modules, and the existence of large community of developers have likewise become integral. The widely used MATLAB software, in particular, has played an important role as an all-purpose audio exploration and research tool. However, its flexibility and practicality when exploring large audio data, its limitations for synchronized audiovisual exploration, and its deficiencies as an integrated system for audio research is an area that can be improved. In this paper we report on developments on the Sound Analysis Toolbox (SATB), a pure MATLAB-based toolbox that addresses some of MATLAB's basic deficiencies as an audio research platform. We introduce solutions including efficient visualization for literally any sized data, a simple feature extraction "plug-in" API, and the sMAT Listener module for spatiotemporal audio-visual exploration.

Original languageEnglish (US)
Title of host publicationICMC 2016 - 42nd International Computer Music Conference, Proceedings
EditorsHans Timmermans
PublisherHKU University of the Arts Utrecht, HKU Music and Technology
Pages234-240
Number of pages7
ISBN (Electronic)0984527451, 9780984527458
StatePublished - Jan 1 2016
Event42nd International Computer Music Conference, ICMC 2016 - Utrecht, Netherlands
Duration: Sep 12 2016Sep 16 2016

Publication series

NameICMC 2016 - 42nd International Computer Music Conference, Proceedings

Other

Other42nd International Computer Music Conference, ICMC 2016
CountryNetherlands
CityUtrecht
Period9/12/169/16/16

ASJC Scopus subject areas

  • Music
  • Computer Science Applications
  • Media Technology

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  • Cite this

    Park, T. H., & Srinivasan, S. (2016). The sound analysis toolbox (SATB). In H. Timmermans (Ed.), ICMC 2016 - 42nd International Computer Music Conference, Proceedings (pp. 234-240). (ICMC 2016 - 42nd International Computer Music Conference, Proceedings). HKU University of the Arts Utrecht, HKU Music and Technology.