Forensic Examinations: Computational Analysis and Information Extraction

Trivilini, Alessandro and Sbattella, Licia and Tedesco, Roberto (2014) Forensic Examinations: Computational Analysis and Information Extraction. In: UNSPECIFIED.

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Abstract

Complex interaction analysis, and information extraction from text and speech are an active resea rch field, based on linguistic theories and NLP techniques. In this paper we present a conceptual model that aims at generating a rich description of forensic examinations, exploiting –i n a novel way– forensic, psychological, and linguistic theories. Such description is then translated into profiles and a report. Profiles describe examiners and the person under examination, while the report evaluates the whole examination. Our main goal is to provide a didactical tool for improving forensic examination techniques. The model is based on a multi-layered set of HMMs, which leverage and combine speech (from audio recordings) and textual(from related transcriptions) features, classifying the examination at several granularity levels. Then, a rule-based expert system generates profiles and an evaluation of the examination. We also created a new audio/textual corpus based on real examinations collected from Italian trials. DIKE is the prototype we are currently implementing and that we plan to use for model validation.

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