Projects per year
Personal profile
Research interests
Forensic Voice/text Comparison, Computational Linguistics, Intonational Modelling, Speech & Language Processing, Similarities/Differences between Individuals, Japanese Language, Japanese Linguistics, Computer Assisted Language Learning and Teaching
Researcher's projects
2015- Forensic Voice Comparison in Vietnamese (International Association for Forensic Phonetics and Acoustics Research Grant) (Main CI: Dr Yuko Kinoshita)
2013-2015 Above & Beyond Speech, Language and Music: A Virtual Lab for Human Communication Science <http://alveo.edu.au/> (Commonwealth Department of Education and Training Grant)
2012 Forensic Voice Comparison in Japanese (2012 Endeavour Reseach Grant)
2010-2011 AusTalk Project <https://austalk.edu.au/> (ARC LIEF100100211)
Qualifications
BEd (Shizuoka), Grad Dip, MA(ANU) MSc (Macquarie), PhD (ANU)
Expertise Areas
- Natural Language Processing
- Signal Processing
- Japanese Language
- Computational Linguistics
- Laboratory Phonetics and Speech Science
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Network (past 5 years)
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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The Big Australian Speech Corpus: An audio-visual corpus of Australian English
Burnham, D. & Ishihara, S.
Australian Research Council (ARC)
1/01/10 → 30/06/15
Project: Research
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Weight of authorship evidence with multiple categories of stylometric features: A multinomial-based discrete model
Ishihara, S., 2023, In: Science and Justice. 63, 2, p. 181-199Research output: Contribution to journal › Article
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Estimating the Strength of Authorship Evidence with a Deep-Learning-Based Approach
Ishihara, S., Tsuge, S., Inaba, M. & Zaitsu, W., 2022, p. 1-5.Research output: Contribution to conference › Paper
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High level forensic voice comparison based on fused long-term fundamental frequency and word n-gram features
Carne, M., Ishihara, S. & Kinoshita, Y., 2022, p. 5293-5297.Research output: Contribution to conference › Paper
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Likelihood ratio estimation for authorship text evidence: An empirical comparison of score- and feature-based methods
Ishihara, S. & Carne, M., 2022, In: Forensic Science International. 334Research output: Contribution to journal › Article
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Mahalanobis distance with an adapted within-author covariance matrix: An authorship verification experiment
Ishihara, S., 2022, In: Digital Scholarship in the Humanities. 37, 4, p. 1051–1072Research output: Contribution to journal › Article