DocumentCode :
177775
Title :
Are men more sleepy than women or does it only look like — Automatic analysis of sleepy speech
Author :
Honig, Florian ; Batliner, Anton ; Booklet, Tobias ; Stemmer, Georg ; Noth, E. ; Schnieder, Sebastian ; Krajewski, Jarek
Author_Institution :
Pattern Recognition Lab., Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
995
Lastpage :
999
Abstract :
The degree of sleepiness in the Sleepy Language Corpus from the Interspeech 2011 Speaker State Challenge is predicted with regression and a very large feature vector. Most notable is the great gender difference which can mainly be attributed to females showing their sleepiness less than males do.
Keywords :
gender issues; regression analysis; sleep; speech processing; vectors; Interspeech 2011 Speaker State Challenge; automatic analysis; feature vector; gender difference; regression analysis; sleepy language corpus; sleepy speech; Correlation; Mel frequency cepstral coefficient; Sleep; Speech; Standards; Training; Sleepiness; brute forcing; gender differences; paralinguistics; regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853746
Filename :
6853746
Link To Document :
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