Comparative studies on machine learning for paralinguistic signal compression and classification

2020 ◽  
Vol 76 (10) ◽  
pp. 8357-8371
Author(s):  
Seokhyun Byun ◽  
Seunghyun Yoon ◽  
Kyomin Jung
2020 ◽  
Author(s):  
Jian Li ◽  
◽  
Bin Dai ◽  
Christopher M. Jones ◽  
Etienne M. Samson ◽  
...  

2019 ◽  
Vol 16 (5) ◽  
pp. 1783-1793
Author(s):  
Jamal A Alhiyafi ◽  
Aisha Alfuraih ◽  
Mai Alismail ◽  
Rawan Aljabr ◽  
Reem Alabdulazeem ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


1950 ◽  
Vol 16 (1) ◽  
pp. 91-103 ◽  
Author(s):  
John A. Layne ◽  
F.R. Schemm ◽  
W.W. Hurst

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