Spoken language identification based on the transcript analysis.
Language identification is a great challenge in language engineering, which arises along with the tasks of speech recognition, machine translation, cross-language information retrieval, intelligent dialogue system creation, etc. The presented article introduces the intelligent language identificatio...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 2; pp. 586 - 596 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Jun2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=164367968&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 164367968 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2023 vid: 38 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 164367968 10.1093/llc/fqac052 ppf: 586 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Spoken language identification based on the transcript analysis. aug: au: Lande, Dmytro V Dmytrenko, Olegh O Shevchenko, Anatolij I Klymenko, Mykyta S Vakulenko, Maksym O affil: Institute of Information Recording Problems , Kyïv, Ukraine National Technical University of Ukraine "Igor Sikorsky Kyïv Polytechnic Institute" , Kyïv, Ukraine Institute of Problems of Artificial Intelligence , Kyïv, Ukraine State Scientific and Technical Library of Ukraine , Kyïv, Ukraine su: Cross-language information retrieval Oral communication Automatic speech recognition Speech perception Machine translating Recognition (Psychology) sug: subj: Cross-language information retrieval Oral communication Automatic speech recognition Speech perception Machine translating Recognition (Psychology) ab: Language identification is a great challenge in language engineering, which arises along with the tasks of speech recognition, machine translation, cross-language information retrieval, intelligent dialogue system creation, etc. The presented article introduces the intelligent language identification technology, which is based on speech recognition and statistical methods of spectrogram analysis. The approach to the automatic identification of the spoken language sample uploaded to the system, in particular from video streaming services such as YouTube, is put forward. The article focuses on the automatic identification of spoken language, taking into account several speech recognition solutions for correct or incorrect speech recognition and its conversion into correct or incorrect text. The obtained algorithm is demonstrated in the Ukrainian and Russian languages. The identification quality of the language of an utterance, which lasts >30 s is almost 100%, and for the utterance of a duration of 30 s, the quality is 98%, and for the 5-s utterance, it reaches 89.6%. In addition to that, the system performance is contingent on the streaming speed, so it is a real-time system. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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