Towards parameter-free classification of sound effects in movies

Author(s):  
Selina Chu ◽  
Shrikanth Narayanan ◽  
C.-C. J. Kuo
2018 ◽  
Vol 11 (4) ◽  
pp. e201700244 ◽  
Author(s):  
Lana Woolford ◽  
Mingzhou Chen ◽  
Kishan Dholakia ◽  
C. Simon Herrington

2014 ◽  
Vol 57 (6) ◽  
pp. 2051-2064 ◽  
Author(s):  
Kaitlin L. Lansford ◽  
Julie M. Liss ◽  
Rebecca E. Norton

Purpose In this investigation, the construct of perceptual similarity was explored in the dysarthrias. Specifically, we employed an auditory free-classification task to determine whether listeners could cluster speakers by perceptual similarity, whether the clusters mapped to acoustic metrics, and whether the clusters were constrained by dysarthria subtype diagnosis. Method Twenty-three listeners blinded to speakers' medical and dysarthria subtype diagnoses participated. The task was to group together (drag and drop) the icons corresponding to 33 speakers with dysarthria on the basis of how similar they sounded. Cluster analysis and multidimensional scaling (MDS) modeled the perceptual dimensions underlying similarity. Acoustic metrics and perceptual judgments were used in correlation analyses to facilitate interpretation of the derived dimensions. Results Six clusters of similar-sounding speakers and 3 perceptual dimensions underlying similarity were revealed. The clusters of similar-sounding speakers were not constrained by dysarthria subtype diagnosis. The 3 perceptual dimensions revealed by MDS were correlated with metrics for articulation rate, intelligibility, and vocal quality, respectively. Conclusions This study shows (a) feasibility of a free-classification approach for studying perceptual similarity in dysarthria, (b) correspondence between acoustic and perceptual metrics to clusters of similar-sounding speakers, and (c) similarity judgments transcended dysarthria subtype diagnosis.


2006 ◽  
Vol 46 (3) ◽  
pp. 1479-1490 ◽  
Author(s):  
Joji M. Otaki ◽  
Akihito Mori ◽  
Yoshimasa Itoh ◽  
Takashi Nakayama ◽  
Haruhiko Yamamoto

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