Evidence Using Automatic Speaker Recognition Systems / DS200 / Merrel Dow Pharmaceuticals Inc. / Hp / Hall Inc. / /
Country
United States / Australia / United Kingdom / Singapore / India / / /
Facility
National University of Singapore / University of Birmingham / /
IndustryTerm
message / internet carriers / judicial systems / authorship classification systems / /
Movie
D. V / /
MusicAlbum
Speech / /
Organization
National University of Singapore / UN Court / Council of Europe Convention / House of Representatives / History and Language Department of Linguistics / Australian Government / Australian National University School of Culture / Universidad Polit´ecnica de Madrid / University of Birmingham / Research School of Asia and the Pacifc / /
gram language model of a given group / author / Prince / same author / King / Governor / forensic scientist / speaker / gram language model for a group / 24x2 same author / /
Product
apache / /
ProvinceOrState
New York / /
PublishedMedium
Computational Linguistics / The International Journal / Journal of Personality and Social Psychology / /
Technology
Speech Recognition / SMS / Natural Language Processing / stemming algorithms / mobile phones / /
A Forensic Authorship Classification in SMS Messages: A Likelihood Ratio Based Approach Using N-gram Shunichi Ishihara The Australian National University School of Culture, History and Language Department of Linguistics,