In:
ACM Transactions on Applied Perception, Association for Computing Machinery (ACM), Vol. 10, No. 4 ( 2013-10), p. 1-16
Abstract:
Browsing large audio archives is challenging because of the limitations of human audition and attention. However, this task becomes easier with a suitable visualization of the audio signal, such as a spectrogram transformed to make unusual audio events salient. This transformation maximizes the mutual information between an isolated event's spectrogram and an estimate of how salient the event appears in its surrounding context. When such spectrograms are computed and displayed with fluid zooming over many temporal orders of magnitude, sparse events in long audio recordings can be detected more quickly and more easily. In particular, in a 1/10-real-time acoustic event detection task, subjects who were shown saliency-maximized rather than conventional spectrograms performed significantly better. Saliency maximization also improves the mutual information between the ground truth of nonbackground sounds and visual saliency, more than other common enhancements to visualization.
Type of Medium:
Online Resource
ISSN:
1544-3558
,
1544-3965
DOI:
10.1145/2536764.2536773
Language:
English
Publisher:
Association for Computing Machinery (ACM)
Publication Date:
2013
detail.hit.zdb_id:
2155384-1
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