An integrated dialect analysis tool using phonetics and acoustics.

Abstract This study aimed to verify a computational phonetic and acoustic analysis tool created in the MATLAB environment. A dataset was obtained containing 3 broad American dialects (Northern, Western and New England) from the TIMIT database using words that also appeared in the Swadesh list. Each...

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Detalles Bibliográficos
Publicado en:Lingua Vol. 221; pp. 37 - 49
Autores principales: Jones, G., Nadjibzadeh, N., Károly, László, Mohammadpour, M.
Formato: Artículo
Publicado: Elsevier B.V. Apr2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2019
      vid: 221
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      pub: Elsevier B.V.
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        135596794
        10.1016/j.lingua.2019.01.007
      ppf: 37
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        atl: An integrated dialect analysis tool using phonetics and acoustics.
      aug:
        au:
          Jones, G.
          Nadjibzadeh, N.
          Károly, László
          Mohammadpour, M.
        affil:
          Wolfson School of Mechanical, Manufacturing and Electrical Engineering, Loughborough University, UK
          Department of Turkology, Institute for Slavic, Turkic and Circum-Baltic Studies, Johannes Gutenberg University of Mainz, Germany
          Department of Linguistics and Philology, Uppsala University, Sweden
      su:
        Phonetics
        Acoustics
        American dialect literature
        Linguistics
        Software development tools
      sug:
        subj:
          Phonetics
          Acoustics
          American dialect literature
          Linguistics
          Software development tools
      keyword:
        Acoustic analysis
        Dialectometry
        Geographical linguistics
      ab: Abstract This study aimed to verify a computational phonetic and acoustic analysis tool created in the MATLAB environment. A dataset was obtained containing 3 broad American dialects (Northern, Western and New England) from the TIMIT database using words that also appeared in the Swadesh list. Each dialect consisted of 20 speakers uttering 10 sentences. Verification using phonetic comparisons between dialects was made by calculating the Levenshtein distance in Gabmap and the proposed software tool. Agreement between the linguistic distances using each analysis method was found. Each tool showed increasing linguistic distance as a function of increasing geographic distance, in a similar shape to Seguy's curve. The proposed tool was then further developed to include acoustic characterisation capability of inter dialect dynamics. Significant variation between dialects was found for the pitch, trajectory length and spectral rate of change for 7 of the phonetic vowels investigated. Analysis of the vowel area using the 4 corner vowels indicated that for male speakers, geographically closer dialects have smaller variations in vowel space area than those further apart. The female utterances did not show a similar pattern of linguistic distance likely due to the lack of one corner vowel /u/, making the vowel space a triangle.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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