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Yuko Kinoshita
Yuko Kinoshita
Honorary Senior Lecturer, The Australian National University
Verified email at anu.edu.au
Title
Cited by
Cited by
Year
Building an audio-visual corpus of Australian English: large corpus collection with an economical portable and replicable Black Box
D Burnham, D Estival, S Fazio, J Viethen, F Cox, R Dale, S Cassidy, ...
Twelfth Annual Conference of the International Speech Communication Association, 2011
742011
Exploring the discriminatory potential of F0 distribution parameters in traditional forensic speaker recognition.
Y Kinoshita, S Ishihara, P Rose
International Journal of Speech, Language & the Law 16 (1), 2009
742009
Strength of forensic speaker identification evidence: multispeaker formant-and cepstrum-based segmental discrimination with a Bayesian likelihood ratio as threshold
P Rose, T Osanai, Y Kinoshitaa
Forensic Linguistics 10, 179-202, 2003
662003
Testing realistic forensic speaker identification in Japanese: A likelihood ratio based approach using formants
Y Kinoshita
Australian National University, 2001
612001
Automatic-type calibration of traditionally derived likelihood ratios: Forensic analysis of Australian English/o/formant trajectories
GS Morrison, Y Kinoshita
452008
Realistic Extrinsic Forensic Speaker Discrimination with the Diphthong/a
P Rose, Y Kinoshita, T Alderman
Proc. llth Austr. Int. Conf. on Speech Sci. and Tech, 329-334, 2006
402006
How many do we need? exploration of the population size effect on the performance of forensic speaker classification.
S Ishihara, Y Kinoshita
Interspeech, 1941-1944, 2008
372008
The big australian speech corpus (the big asc)
M Wagner, D Tran, R Togneri, P Rose, D Powers, M Onslow, D Loakes, ...
SST 2010, Thirteenth Australasian International Conference on Speech Science …, 2011
322011
Does Lindley's LR estimation formula work for speech data? Investigation using long-term F0
Y Kinoshita
International Journal of Speech Language and the Law 12 (2), 235-254, 2007
292007
Background population: how does it affect LR based forensic voice comparison?
Y Kinoshita, S Ishihara
The International Journal of Speech, Language and the Law 21 (2), 191-224, 2014
272014
Filler words as a speaker classification feature
S Ishihara, Y Kinoshita
Proceedings of the 13th Australasian International Conference on Speech …, 2010
242010
Within speaker variation in diphthongal dynamics: What can we compare
Y Kinoshita, T Osanai
Proceedings of the 11th Australasian International Conference on Speech …, 2006
242006
A blueprint for a comprehensive Australian English auditory-visual speech corpus
D Burnham, E Ambikairajah, J Arciuli, M Bennamoun, CT Best, S Bird, ...
HCSNet workshop on designing the Australian national corpus, 96-107, 2009
232009
Use of likelihood ratio and Bayesian approach in forensic speaker identification
Y Kinoshita
Proceedings of the 9th Australian International conference on Speech Science …, 2002
162002
Beyond the Long-term Mean: Exploring the Potential of F0 Distribution Parameters in Traditional Forensic Speaker Recognition.
Y Kinoshita, S Ishihara, P Rose
methodology (the dpik function of R’s KernSmooth library) 13, 14, 2008
122008
Why do we teach languages at universities? Re-conceptualization of foreign language education
Y Kinoshita, Y Zhang
LCNAU, 2014
112014
Injustice arising from the unnoticed power of priming: How lawyers and even judges can be misled by unreliable transcripts of indistinct forensic audio
H Fraser, Y Kinoshita
The Law Book Company, 2021
102021
Using an audio-video chat program in language learning
Y Kinoshita
Handbook of research on computer-enhanced language acquisition and learning …, 2008
102008
F0 can tell us more: speaker verification using the long term distribution
Y Kinoshita, S Ishihara
Australian Speech Science and Technology Association Inc, 2010
82010
Beyond the long-term mean: exploring the potential of f0 distribution parameters in forensic speaker recognition
Y Kinoshita, S Ishihara, P Rose
Odyssey 2008, The Speaker and Language Recognition Workshop, 1-8, 2008
82008
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