Výsledky vyhledávání - "Jayanna H.S."

Akademický článek

Improvements in Spoken Query System to Access the Agricultural Commodity Prices and Weather Information in Kannada Language/Dialects

Autor: Yadava Thimmaraja G., Jayanna H.S.

Publikováno v: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 664-687 (2018)

In this paper, the improvements in the recently developed end to end spoken query system to access the agricultural commodity prices and weather information in Kannada language/dialects is demonstrated. The spoken query system consists of interactive

Externí odkaz: https://doaj.org/article/1ef0950137cc40f6a46c8ca8cb77ffb3

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Akademický článek

i-Vector-Based Speaker Verification on Limited Data Using Fusion Techniques

Autor: Jayanthi Kumari T.R., Jayanna H.S.

Publikováno v: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 565-582 (2018)

In many biometric applications, limited data speaker verification plays a significant role in practical-oriented systems to verify the speaker. The performance of the speaker verification system needs to be improved by applying suitable techniques to

Externí odkaz: https://doaj.org/article/7a0dbc2d5b8a42358f9a19f1d1a9ee93

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Akademický článek

An Experimental Comparison of Modeling Techniques and Combination of Speaker – Specific Information from Different Languages for Multilingual Speaker Identification

Autor: Jayanna H.S., Nagaraja B.G.

Publikováno v: Journal of Intelligent Systems, Vol 25, Iss 4, Pp 529-538 (2016)

Most of the state-of-the-art speaker identification systems work on a monolingual (preferably English) scenario. Therefore, English-language autocratic countries can use the system efficiently for speaker recognition. However, there are many countrie

Externí odkaz: https://doaj.org/article/59dba75426a64902a997e46539822bc8

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Akademický článek

Multilingual Speaker Identification by Combining Evidence from LPR and Multitaper MFCC

Autor: Nagaraja B.G., Jayanna H.S.

Publikováno v: Journal of Intelligent Systems, Vol 22, Iss 3, Pp 241-251 (2013)

In this work, the significance of combining the evidence from multitaper mel-frequency cepstral coefficients (MFCC), linear prediction residual (LPR), and linear prediction residual phase (LPRP) features for multilingual speaker identification with t

Externí odkaz: https://doaj.org/article/8ecb423081884b9ab9ee01a76279ee5e

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