Details

Title

Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset

Journal title

Archives of Acoustics

Yearbook

2016

Volume

vol. 41

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Description

Archives of Acoustics is an English-language peer-reviewed quarterly journal publishing original research papers from all areas of acoustics and abstracts from some specialised acoustical conferences. It gives free internet access to its full content (abstracts of research papers) to current issues.

Archives of Acoustics, the peer-reviewed quarterly journal publishes original research papers from all areas of acoustics like:

  • acoustical measurements and instrumentation,
  • acoustics of musics,
  • acousto-optics,
  • architectural, building and environmental acoustics,
  • bioacoustics,
  • electroacoustics,
  • linear and nonlinear acoustics,
  • noise and vibration,
  • physical and chemical effects of sound,
  • physiological acoustics,
  • psychoacoustics,
  • quantum acoustics,
  • speech processing and communication systems,
  • speech production and perception,
  • transducers,
  • ultrasonics,
  • underwater acoustics.

Earlier issues are available on the old website http://acoustics.ippt.gov.pl/index.php/aa/issue/archive

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Date

2016

Identifier

ISSN 0137-5075 ; eISSN 2300-262X

References

Bryant (2014), The animal nature of spontaneous human laughter Evolution and Human, Behavior, 35, 327. ; HintonG (2006), A fast learning algorithm for deep belief nets, Neural Computation, 18, 1527, doi.org/10.1162/neco.2006.18.7.1527 ; SchapireR (1999), Improved boosting algorithms using confidence - rated predictions, Machine Learning, 37, 297, doi.org/10.1023/A:1007614523901 ; HudenkoW (2009), Laughter differs in children with autism : An acoustic analysis of laughs produced by children with and without the disorder of Autism and Developmental Disorders, Journal, 39, 1392. ; SchölkopfB (2001), Estimating the support of a high - dimensional distribution, Neural Computation, 13, 1443, doi.org/10.1162/089976601750264965 ; NwokahE (1993), Vocal affect in three - year - olds : a quantitative acoustic analysis of child laughter of the Acoustical Society of America, Journal, 94, 3076. ; BachorowskiJ (2001), The acoustic features of human laughter of the Acoustical Society of America, Journal, 110, 1581. ; ChandrashekarG (2014), A survey on feature selection methods Computers & Electrical, Engineering, 40, 16. ; CampbellN (2007), On the use of nonverbal speech sounds in human communication in Proceedings of COST Action and Nonverbal Communication Behaviours pp Vietri sul Mare Italy, Verbal, 2102. ; RothgängerH (1998), Analysis of laughter and speech sounds in Italian and German students, Naturwissenschaften, 85, 394, doi.org/10.1007/s001140050522 ; Kovács (2015), Joint optimization of spectro - temporal features and Deep Neural Nets for robust automatic speech recognition, Acta Cybernetica, 22, 117, doi.org/10.14232/actacyb.22.1.2015.8 ; TruongK (2007), Automatic discrimination between laughter and speech, Speech Communication, 49, 144, doi.org/10.1016/j.specom.2007.01.001 ; HolmesJ (2002), Having a laugh at work : How humour contributes to workplace culture of Pragmatics, Journal, 34, 1683. ; LukácsE (1955), A characterization of the Gamma distribution of Mathematical, Annals Statistics, 26, 319, doi.org/10.1214/aoms/1177728549

DOI

10.1515/aoa-2016-0064

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