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Empirical analysis of linguistic and paralinguistic information for automatic dialect classification.

, , and . Artif. Intell. Rev., 51 (4): 647-672 (2019)

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Speech Processing for Hindi Dialect Recognition., , and . SIRS, volume 264 of Advances in Intelligent Systems and Computing, page 161-169. Springer, (2014)Spectral and prosodic features-based speech pattern classification., , and . IJAPR, 2 (1): 96-110 (2015)HL7 Data Acquisition & Integration: Challenges and Best Practices., and . IEEE BigData, page 2453-2457. IEEE, (2018)Continuous density Hidden Markov Model for context dependent Hindi speech recognition., , and . ICACCI, page 1953-1958. IEEE, (2013)Diagnosis of Cardiac Diseases Using Ranked Parameters for Machine Learning., , , and . ICIMMI, page 155:1-155:6. ACM, (2023)Recent Advancement in Education System Using AR Tools: A New Perspective., , and . ICIMMI, page 32:1-32:5. ACM, (2022)Empirical analysis of linguistic and paralinguistic information for automatic dialect classification., , and . Artif. Intell. Rev., 51 (4): 647-672 (2019)Adaptive System Sensitive Partitioning of AMR Applications on Heterogeneous Clusters., and . Clust. Comput., 5 (4): 343-352 (2002)Influence of regional dialects on acoustic characteristics of Hindi vowels., , and . O-COCOSDA/CASLRE, page 166-171. IEEE, (2015)Analysis and modeling of acoustic information for automatic dialect classification., , and . I. J. Speech Technology, 19 (3): 593-609 (2016)