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Acoustic event detection for multiple overlapping similar sources
Many current paradigms for acoustic event detection (AED) are not adapted to
the organic variability of natural sounds, and/or they assume a limit on the
number of simultaneous sources: often only one source, or one source of each
type, may be active. These aspects are highly undesirable for applications such
as bird population monitoring. We introduce a simple method modelling the
onsets, durations and offsets of acoustic events to avoid intrinsic limits on
polyphony or on inter-event temporal patterns. We evaluate the method in a case
study with over 3000 zebra finch calls. In comparison against a HMM-based
method we find it more accurate at recovering acoustic events, and more robust
for estimating calling rates.Comment: Accepted for WASPAA 201
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