scholarly journals Learning spectro-temporal representations of complex sounds with parameterized neural networks

2021 ◽  
Vol 150 (1) ◽  
pp. 353-366
Author(s):  
Rachid Riad ◽  
Julien Karadayi ◽  
Anne-Catherine Bachoud-Lévi ◽  
Emmanuel Dupoux
Keyword(s):  
Neural Networks ◽  
Complex Sounds ◽  
Temporal Representations

scholarly journals Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks

2019 ◽  
Vol 41 (2) ◽  
pp. 285-296 ◽  
Author(s):  
Omar Costilla-Reyes ◽  
Ruben Vera-Rodriguez ◽  
Patricia Scully ◽  
Krikor B. Ozanyan
Keyword(s):  
Neural Networks ◽  
Spatio Temporal ◽  
Temporal Representations

Head Position Identification

1967 ◽  
Vol 10 (3) ◽  
pp. 438-448
Author(s):  
H. N. Wright
Keyword(s):  
Roc Curve ◽  
Head Position ◽  
Hearing Impaired ◽  
Type Ii ◽  
Experimental Conditions ◽  
Partial Explanation ◽  
Complex Sounds ◽  
Binaural Cues ◽  
Criterion Behavior ◽  
Stimulus Degradation

A binaural recording of traffic sounds that reached an artificial head oriented in five different positions was presented to five subjects, each of whom responded under four different criteria. The results showed that it is possible to examine the ability of listeners to localize sound while listening through earphones and that the criterion adopted by an individual listener is independent of his performance. For the experimental conditions used, the Type II ROC curve generated by manipulating criterion behavior was linear and consistent with a guessing model. Further experiments involving different degrees of stimulus degradation suggested a partial explanation for this finding and illustrated the various types of monaural and binaural cues used by normal and hearing-impaired listeners to localize complex sounds.

Review of Auditory Processing of Complex Sounds.

1988 ◽  
Vol 33 (12) ◽  
pp. 1103-1103
Author(s):  
No authorship indicated
Keyword(s):  
Auditory Processing ◽  
Complex Sounds
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