Acoustic Features Characterization of Autism Speech for Automated Detection and Classification

Author(s):  
Abhijit Mohanta ◽  
Prerana Mukherjee ◽  
Vinay Kumar Mirtal
2019 ◽  
Vol 100 (5) ◽  
pp. 1427-1435 ◽  
Author(s):  
Juan P Amaya ◽  
Emmanuel Zufiaurre ◽  
Juan I Areta ◽  
Agustín M Abba

Abstract Distress calls are signals given by individuals experiencing physical stress such as handling by a predator. These calls have been recorded in numerous phylogenetically distant vertebrate species, and share certain acoustic features, such as high amplitude, broadband, and rich harmonic structure. Screaming hairy armadillos (Chaetophractus vellerosus) sometimes give a high-amplitude weeping call when captured by predators or disturbed by humans. We provide an acoustic characterization of this call using recordings of hand-held wild individuals, and test whether it constitutes a distress signal. The weeping call was a harsh, loud, broadband, long sound, composed of five note types: crying, inhaled, inhaled sobbing, exhaled sobbing, and grunt notes. Crying notes were the most common, distinctive, and loudest sounds. The proportion of armadillos that called when disturbed was between nearly five to seven times higher than when treated with care. Likewise, 223 hunters reported armadillos consistently weeping when trapped by dogs, and no weeping was heard in natural undisturbed conditions. Our data support a distress signal role for the weeping call.


Heart Rhythm ◽  
2007 ◽  
Vol 4 (8) ◽  
pp. 1013-1020 ◽  
Author(s):  
Daniel Scherr ◽  
Darshan Dalal ◽  
Aamir Cheema ◽  
Alan Cheng ◽  
Charles A. Henrikson ◽  
...  

2011 ◽  
Vol 67 (1) ◽  
pp. 278-289 ◽  
Author(s):  
Parker H. Mills ◽  
T. Kevin Hitchens ◽  
Lesley M. Foley ◽  
Thomas Link ◽  
Qing Ye ◽  
...  

2011 ◽  
Vol 42 (3) ◽  
pp. 286-293 ◽  
Author(s):  
J. M. Caridad ◽  
F. Rossella ◽  
V. Bellani ◽  
M. S. Grandi ◽  
E. Diez

1998 ◽  
Vol 16 (3) ◽  
pp. 311-318 ◽  
Author(s):  
D Goldberg-Zimring ◽  
A Achiron ◽  
S Miron ◽  
M Faibel ◽  
H Azhari

2020 ◽  
Vol 61 (81) ◽  
pp. 242-248 ◽  
Author(s):  
Madison L. Goldberg ◽  
Dustin M. Schroeder ◽  
Davide Castelletti ◽  
Elisa Mantelli ◽  
Neil Ross ◽  
...  

AbstractBasal units – visibly distinct englacial structures near the ice-bed interface – warrant investigation for a number of reasons. Many are of unknown composition and origin, characteristics that could provide substantial insight into subglacial processes and ice-sheet history. Their significance, moreover, is not limited to near-bed depths; these units appear to dramatically influence the flow of surrounding ice. In order to enable improved characterization of these features, we develop and apply an algorithm that allows for the automatic detection of basal units. We use a tunable layer-optimized SAR processor to distinguish these structures from the bed, isochronous englacial layers and the ice-sheet surface, presenting a conceptual framework for the use of radio-echo character in the identification of ice-sheet features. We also outline a method by which our processor could be used to place observational constraints on basal units’ configuration, composition and provenance.


2012 ◽  
pp. 27-48
Author(s):  
Andreas Heindl ◽  
Martin Schepelmann ◽  
Rupert Ecker ◽  
Peter Pietschmann ◽  
Isabella Ellinger ◽  
...  

2013 ◽  
Vol 28 (6) ◽  
pp. e34-e35
Author(s):  
Mary Mohr ◽  
Manisha Patel ◽  
Hoshik Lee ◽  
Matthew Clark ◽  
Douglas Lake ◽  
...  

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