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Analysis and modeling of acoustic information for automatic dialect classification.

, , и . I. J. Speech Technology, 19 (3): 593-609 (2016)

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Shweta Pahujani

Shweta Tiwari

Shweta Aggarwal

Prashant Sinha

Intermediate states in bivalent ion induced shrinking of polyacrylate coils on surfaces and in solution. TU Dresden, (2009)

Vineet Sinha

 

Другие публикации лиц с тем же именем

Speech Processing for Hindi Dialect Recognition., , и . SIRS, том 264 из Advances in Intelligent Systems and Computing, стр. 161-169. Springer, (2014)Spectral and prosodic features-based speech pattern classification., , и . IJAPR, 2 (1): 96-110 (2015)HL7 Data Acquisition & Integration: Challenges and Best Practices., и . IEEE BigData, стр. 2453-2457. IEEE, (2018)Continuous density Hidden Markov Model for context dependent Hindi speech recognition., , и . ICACCI, стр. 1953-1958. IEEE, (2013)Empirical analysis of linguistic and paralinguistic information for automatic dialect classification., , и . Artif. Intell. Rev., 51 (4): 647-672 (2019)Dialectal influences on acoustic duration of Hindi phonemes., , и . O-COCOSDA/CASLRE, стр. 1-5. IEEE, (2013)O-MARC: A multilingual online speech data acquisition for Indian languages., , и . O-COCOSDA, стр. 1-6. IEEE, (2017)Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters., и . CLUSTER, стр. 435-. IEEE Computer Society, (2001)Influence of regional dialects on acoustic characteristics of Hindi vowels., , и . O-COCOSDA/CASLRE, стр. 166-171. IEEE, (2015)Analysis and modeling of acoustic information for automatic dialect classification., , и . I. J. Speech Technology, 19 (3): 593-609 (2016)