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This paper presents a successful application of deep learning for object recognition based on acoustic data.
This paper investigates the estimation of underlying articulatory targets of Thai vowels as invariant representation of vocal tract shapes by means of analysis-by-synthesis based on acoustic data.
The proposed method based on acoustic data allows for the resolution of a large range of meso and submesoscale structures such as eddies, fronts, filaments and internal waves (Fig. 3B,D,F).
'Galagoides' cocos has recently been elevated to full species status based on acoustic data [ 20, 97], although its taxonomic validity is still uncertain.
Based on acoustic data, and a number of assumptions, McCauley & Jenner (2010) estimated the number of pygmy blue whales (Balaenoptera musculus brevicauda) migrating through an area in Western Australia.
Although passive acoustic density estimation may potentially be applied to a wide variety of terrestrial and aquatic taxa, cetaceans have been so far the focus of most exclusively acoustic-based applications (although we note that many bird surveys are mostly, but rarely exclusively, based on acoustic data).
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Moreover, a clear distinction between the AE outputs of specimens with different failure modes, in both SRG- and GFRP-strengthened specimens, is found which allows characterizing the debonding failure mode based on acoustic emission data.
An innovative prognostic data-driven framework is proposed to deal with the real-time estimation of the remaining useful life of composite materials under fatigue loading based on acoustic emission data and a sophisticated multi-state degradation Non Homogeneous Hidden Semi Markov Model (NHHSMM).
The analysis of pelagic fish distribution patterns in the Southeastern Pacific Ocean based on acoustic survey data and synoptic variability of the dynamic topography reveals that most dense fish concentrations relate to dynamic heterogeneities, which are located at the northern periphery of the Subtropical Front.
Density estimates based exclusively on acoustic data have already been presented for some taxonomic groups including insects (e.g. Fischer et al., 1997), cetaceans (e.g. Marques et al., 2009), birds (e.g. Dawson & Efford, 2009; Adi et al., 2010) and elephants (e.g. Thompson et al., 2009).
Panels (a) to (c) show the results obtained based on acoustic models trained with the clean training data.
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based on acoustic models
based on solid data
based on acoustic recordings
based on clear data
based on acoustic features
based on fragmentary data
based on acoustic chemometrics
based on acoustic signals
based on acoustic criteria
based on false data
based on acoustic roots
based on acoustic parameters
based on acoustic phenomena
based on acoustic differences
based on acoustic properties
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