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Text-dependent Forensic Voice Comparison: Likelihood Ratio Estimation with the Hidden Markov Model (HMM) and Gaussian Mixture Model – Universal Background Model (GMMUBM) Approaches
In: Proceedings of the Australasian Language TechnologyAssociation Workshop 2018 ; https://www.aclweb.org/anthology/U18-1002 (2019)
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A comparative study of likelihood ratio based forensic text comparison procedures: Multivariate kernel density with lexical features vs. word N-grams vs. character N-grams
In: Proceedings - 5th Cybercrime and Trustworthy Computing Conference, CTC 2014 (2016)
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Likelihood Ratio-based Forensic Voice Comparison on L2 speakers: A Case of Hong Kong native male production of English vowels
In: Australasian Language Technology Association Workshop 2015 Proceedings of the Workshop ; http://www.alta.asn.au/events/alta2015/proceedings.pdf (2016)
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An acoustic-phonetic descriptive analysis of Kagoshima Japanese tonal phenomena
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Likelihood Ratio-based Forensic Voice Comparison on L2 speakers: A Case of Hong Kong native male production of English vowels
In: Australasian Language Technology Association Workshop 2015 Proceedings of the Workshop ; http://www.alta.asn.au/events/alta2015/proceedings.pdf (2016)
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A comparative study of likelihood ratio based forensic text comparison procedures: Multivariate kernel density with lexical features vs. word N-grams vs. character N-grams
In: Proceedings - 5th Cybercrime and Trustworthy Computing Conference, CTC 2014 (2016)
Abstract: This is a comparative study to empirically investigate the performances of three different procedures for calculating authorship attribution likelihood ratios (LR). The procedures to be compared are: 1) a procedure based on multivariate kernel density (MVKD) with lexical features; 2) a procedure based on word N-grams; and 3) a procedure based on character N-grams. Furthermore, the best-performing LRs of these three procedures are fused into combined single LRs using a logistic-regression fusion, in order to investigate the extent of the improvement/deterioration that the fusion brings about. This study uses chatlog messages, which were presented as evidence to prosecute paedophiles, for testing. The numbers of word tokens used to model the authorship attribution of each message group are 500 and 1000 words. This was done to examine the effect of sample size on the performance of a system. The performance of a system is assessed with regard to its validity (= accuracy) and reliability (= precision) using the log-likelihood-ratio cost (Cllr) and 95% credible intervals (CI), respectively. While describing the different characteristics of these three procedures in their outcomes, this study demonstrates that the MVKD procedure was the best-performing procedure out of the three in terms of Cllr. This study also demonstrates that a logistic-regression fusion is useful for combining the LRs obtained from the three procedures in question, resulting in a good improvement in performance.
URL: http://hdl.handle.net/1885/102627
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A likelihood ratio-based forensic text comparison in predatory chatlog messages
In: Selected Papers from the 44th Conference of the Australian Linguistic Society, 2013 (2015)
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8
A Fused Forensic Text Comparison System Using Lexical Features, Word and Character N-grams A Likelihood Ratio-based Analysis in Predatory Chatlog Messages
In: Proceedings of 2014 International Conference on Advances in Computing,Communications and Informatics (ICACCI) (2015)
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The Effect of First Language (L1) in Cross-Language Speech Perception: Comparison of Word-Final Stop Discrimination by English, Japanese and Thai Listeners
In: Journal of the Phonetic Society of Japan (Onsei Kenkyu) (2015)
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10
A Likelihood Ratio-Based Forensic Text Comparison in SMS Messages: A Fused System with Lexical Features and N-Grams
Ishihara, Shunichi. - : IGI Global Books, 2015
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11
The Effect of First Language (L1) in Cross-Language Speech Perception: Comparison of Word-Final Stop Discrimination by English, Japanese and Thai Listeners
In: Journal of the Phonetic Society of Japan (Onsei Kenkyu) (2015)
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12
Probabilistic evaluation of sms messages as forensic evidence: Likelihood ratio based approach with lexical features
In: International Journal of Digital Crime and Forensics (2015)
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13
An Acoustic-Phonetic Descriptive Analysis of Kagoshima Japanese Tonal Phenomena
In: Proceedings of the Symposium 'Cross-Linguistic Studies of Tonal Phenomena: Historical Development, Tone-Syntax Interface, and Descriptive Studies' (2015)
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14
An Acoustic Phonetic Comparative Analysis of Osaka and Kagoshima Japanese Tonal Phenomena
In: Proceedings of Interspeech 2008 incorporating SST 2008 (2015)
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15
A Comparative Study on Perception of Foreign-accented Japanese by L2 Japanese Listeners having different L1 backgrounds: English, Chinese and Indonesion
In: Proceedings of the ICPhS XVII 2011 ; http://www.icphs2011.hk/index.htm ; http://research-hub.griffith.edu.au/display/nd4d152a1489d72b1e868096758f290d2 (2015)
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16
A Likelihood Ratio-Based Forensic Text Comparison in SMS Messages: A Fused System with Lexical Features and N-Grams
Ishihara, Shunichi. - : IGI Global Books, 2015
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17
Osaka and Kagoshima Japanese citation tone acoustics: A linguistic-tonetic comparative study
In: Journal of the International Phonetic Association (2015)
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18
A Fused Forensic Text Comparison System Using Lexical Features, Word and Character N-grams A Likelihood Ratio-based Analysis in Predatory Chatlog Messages
In: Proceedings of 2014 International Conference on Advances in Computing,Communications and Informatics (ICACCI) (2015)
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19
Cross-Language Perception of Word-Final Stops: Comparison of Cantonese, Japanese, Korean and Vietnamese Listeners
In: Proceedings of International Congress of Phonetic Sciences 2007 ; http://www.hcsnet.edu.au/node/877 (2015)
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An Acoustic Phonetic Comparative Analysis of Osaka and Kagoshima Japanese Tonal Phenomena
In: Proceedings of Interspeech 2008 incorporating SST 2008 (2015)
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