Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning.
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| Title: | Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning. |
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| Authors: | De Timmerman R; Department of Linguistics, Ghent University, Ghent 9000, Belgium., Verbeke G; Department of Linguistics, Ghent University, Ghent 9000, Belgium. |
| Source: | The Journal of the Acoustical Society of America [J Acoust Soc Am] 2026 Jul 01; Vol. 160 (1), pp. 537-549. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Institute of Physics Country of Publication: United States NLM ID: 7503051 Publication Model: Print Cited Medium: Internet ISSN: 1520-8524 (Electronic) Linking ISSN: 00014966 NLM ISO Abbreviation: J Acoust Soc Am Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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