Literature DB >> 11218760

[Creating language model of the forensic medicine domain for developing a autopsy recording system by automatic speech recognition].

H Niijima1, N Ito, S Ogino, T Takatori, H Iwase, M Kobayashi.   

Abstract

For the purpose of practical use of speech recognition technology for recording of forensic autopsy, a language model of the speech recording system, specialized for the forensic autopsy, was developed. The language model for the forensic autopsy by applying 3-gram model was created, and an acoustic model for Japanese speech recognition by Hidden Markov Model in addition to the above were utilized to customize the speech recognition engine for forensic autopsy. A forensic vocabulary set of over 10,000 words was compiled and some 300,000 sentence patterns were made to create the forensic language model, then properly mixing with a general language model to attain high exactitude. When tried by dictating autopsy findings, this speech recognition system was proved to be about 95% of recognition rate that seems to have reached to the practical usability in view of speech recognition software, though there remains rooms for improving its hardware and application-layer software.

Mesh:

Year:  2000        PMID: 11218760

Source DB:  PubMed          Journal:  Nihon Hoigaku Zasshi        ISSN: 0047-1887


  1 in total

1.  Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study.

Authors:  Sahar Peivandi; Leila Ahmadian; Jamileh Farokhzadian; Yunes Jahani
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-08       Impact factor: 2.796

  1 in total

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