R, D. T., & G, V. (2026). Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning. The Journal of the Acoustical Society of America, 160(1), 537. https://doi.org/10.1121/10.0044380
Chicago Style (17th ed.) CitationR, De Timmerman, and Verbeke G. "Modeling Monophthongal Versus Diphthongal /aɪ/ in Sung Vocal Performance with Interpretable Machine Learning." The Journal of the Acoustical Society of America 160, no. 1 (2026): 537. https://doi.org/10.1121/10.0044380.
MLA (9th ed.) CitationR, De Timmerman, and Verbeke G. "Modeling Monophthongal Versus Diphthongal /aɪ/ in Sung Vocal Performance with Interpretable Machine Learning." The Journal of the Acoustical Society of America, vol. 160, no. 1, 2026, p. 537, https://doi.org/10.1121/10.0044380.