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 | 37 | 2008 |
A forensic authorship classification in sms messages: A likelihood ratio based approach using n-gram S Ishihara Proceedings of the Australasian Language Technology Association Workshop …, 2011 | 34 | 2011 |
A likelihood ratio-based evaluation of strength of authorship attribution evidence in SMS messages using N-grams. S Ishihara International Journal of Speech, Language & the Law 21 (1), 2014 | 32 | 2014 |
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 | 32 | 2011 |
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 | 27 | 2014 |
Strength of linguistic text evidence: A fused forensic text comparison system S Ishihara Forensic Science International 278, 184-197, 2017 | 26 | 2017 |
Filler words as a speaker classification feature S Ishihara, Y Kinoshita Proceedings of the 13th Australasian International Conference on Speech …, 2010 | 24 | 2010 |
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 | 23 | 2009 |
Strength of forensic text comparison evidence from stylometric features: a multivariate likelihood ratio-based analysis. S Ishihara International Journal of Speech, Language & the Law 24 (1), 2017 | 22 | 2017 |
Score-based likelihood ratios for linguistic text evidence with a bag-of-words model S Ishihara Forensic Science International 327, 110980, 2021 | 20 | 2021 |
An acoustic-phonetic descriptive analysis of Kagoshima Japanese tonal phenomena S Ishihara The Australian National University, 2004 | 16 | 2004 |
A Comparative Study on Perception of Foreign-accented Japanese by L2 Japanese Listeners having different L1 backgrounds: English, Chinese and Indonesion S Ishihara, Y Fan, D Jalil, C Tsurutani International Phonetic Association, 2011 | 15* | 2011 |
Likelihood ratio estimation for authorship text evidence: An empirical comparison of score-and feature-based methods S Ishihara, M Carne Forensic Science International 334, 111268, 2022 | 13 | 2022 |
A forensic text comparison in SMS messages: a likelihood ratio approach with lexical features. S Ishihara WDFIA, 55-65, 2012 | 12 | 2012 |
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 | 12 | 2008 |
Cross‐language perception of word‐final stops: A comparison of Cantonese, Japanese, Korean, and Vietnamese listeners K Tsukada, S Ishihara, TTA Nguyen, R Roengpitya The Journal of the Acoustical Society of America 121 (5_Supplement), 3074-3074, 2007 | 11 | 2007 |
The effect of first language (L1) in cross-language speech perception: Comparison of word-final stop discrimination by English, Japanese and Thai listeners K Tsukada, S Ishihara Journal of the Phonetic Society of Japan 11 (1), 82-92, 2007 | 11 | 2007 |
Probabilistic evaluation of SMS messages as forensic evidence: likelihood ratio based approach with lexical features S Ishihara Emerging Digital Forensics Applications for Crime Detection, Prevention, and …, 2013 | 10 | 2013 |
What constitutes" good pronunciation" from L2 Japanese learners' and native speakers' perspectives? A perception study S Ishihara, C Tsurutani, K Tsukada National University of Singapore, 2011 | 9 | 2011 |
Variability and consistency in the idiosyncratic selection of fillers in Japanese monologues: Gender differences S Ishihara Proceedings of the Australasian Language Technology Association Workshop …, 2010 | 9 | 2010 |