Filler words as a speaker classification feature. Ishihara, S. & Kinoshita, Y. In Tabain, M., Fletcher, J., Grayden, D., Hajek, J., & Butcher, A., editors, Proceedings of the 13th Australasian International Conference on Speech Science and Technology, pages 34–37, 2010.
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Paper abstract bibtex
Paper abstract bibtex Many of us can think of iconic words or expressions that our close friends or family often use. This study investigated the potential of idiosyncrasies in usage of filler words as a speaker classification parameter, using spontaneous Japanese speech. We estimated likelihood ratios (LRs) based on which filler words were used and how often, and performed speaker discrimination tests using the LRs. As a result we discovered that speakers’ choices of fillers can predict speaker’s identity to some degree, and that this has potential as an additional feature for speaker classification.
@inproceedings{Ishihara:2010aa,
Author = {Ishihara, Shunichi and Kinoshita, Yuko},
Booktitle = {Proceedings of the 13th Australasian International Conference on Speech Science and Technology},
Date = {2010},
Date-Added = {2018-04-28 07:53:34 +0000},
Date-Modified = {2018-05-13 20:08:45 +0000},
Editor = {Tabain, Marija and Fletcher, Janet and Grayden, David and Hajek, John and Butcher, Andy},
Eventdate = {2010-12-14/2010-12-16},
Keywords = {forensic, forensic phonetics, phonetics, speech technology, speaker recognition, disfluencies, pauses, filled pauses, Japanese, spontaneous speech, temporal factors, prosody},
Location = {Melbourne, Australia},
Pages = {34--37},
Title = {Filler words as a speaker classification feature},
Url = {http://assta.org/sst/SST-10/SST2010/PDF/AUTHOR/ST100050.PDF},
Year = {2010},
Abstract = {Many of us can think of iconic words or expressions that our close friends or family often use. This study investigated the potential of idiosyncrasies in usage of filler words as a speaker classification parameter, using spontaneous Japanese speech. We estimated likelihood ratios (LRs) based on which filler words were used and how often, and performed speaker discrimination tests using the LRs. As a result we discovered that speakers’ choices of fillers can predict speaker’s identity to some degree, and that this has potential as an additional feature for speaker classification.},
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