Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mahesh, M.; Pradosh, Keshav M.V. Title A name given to the resource Mathematical and prosodic analysis of intonation in Malayalam Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal of Speech Technology;Volume;28;Issue;2;pp.531-540 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10772-025-10197-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10772-025-10197-x</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105008759823?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008759823?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mahesh M., Department of English and Foreign Languages, SRM Institute of Science and Technology, Chennai, India; Pradosh K.M.V., Department of Physics and Electronics, Christ University, Bangalore, India Description An account of the resource This study investigates the intonation patterns of Malayalam, a language spoken in Kerala, India, using polynomial regression and Kernel Density Estimation. Malayalam has distinct pitch modulation patterns across genders and question types, with variations in acoustic features, syllables, and stress structures. We examine the mean pitch characteristics of different question types and analyze the correlation between stress patterns and syllable structure counts in the language. Additionally, we perform clustering analysis on Malayalam words to highlight similarities and diversities in acoustic features, which helps us understand the phonetic diversity within the language. Our analysis shows that the overlap of KDE curves in the feature space allows us to analyze the linguistic factors that influence variability in Malayalam speech. This suggests a need for further research on regions where syllable complexity and phonological patterns are notably concentrated. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. Subject The topic of the resource Intonation; Malayalam; Polynomial regression; Prosody analysis; Speech clustering Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 13812416; CODEN: ISTEF Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online