Effective browsing of long audio recordings

Authors:
Camille Goudeseune
Affiliations:
University of Illinois, Urbana, IL, USA
Venue:
Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices
Year:
2012

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Abstract

Timeliner is a browser for long audio recordings and features that it derives from such recordings. Features can be either signal-based, like spectrograms, or model-based, like categorical classifiers. Unlike conventional audio editors, Timeliner pans and zooms smoothly across many orders of magnitude, from days-long overviews to millisecond-scale details, with zero latency, zero flicker, and low CPU load. Also, to suggest which details are worth zooming in to examine, Timeliner's agglomerative hierarchical caches propagate feature-specific details up to wider zoom levels. Because these details are not averaged away, "big data" can be browsed rapidly and effectively. Several studies demonstrate this.