There is significant interest in the audio community in developing web-based applications using HTML5 and Web Audio API. Whilst this newly emerging API goes some way to provide offline audio analysis in the web browser it is limited to a relatively basic FFT with fixed Blackman windowing and no overlap facility. Most previously documented solutions to this issue operate in real time. This paper demonstrates how to perform more sophisticated, faster than real time FFT analysis for use within Web Audio applications. It makes use of the Web Audio API and the dsp.js library. Academics and researchers can use this paper as a tutorial to develop similar solutions within their own web based audio applications.

Authors: Joglar-Ongay, Luis; Dewey, Christopher; Wakefield, Jonathan
Affiliation: University of Huddersfield, Huddersfield, West Yorkshire, UK
AES Convention: 140 (May 2016) eBrief:242
Publication Date: May 26, 2016
Subject: eBriefs: Posters

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