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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=177775