Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Prasad, V. Kamakshi"'
Publikováno v:
InterJRI Computer Science and Networking, Volume 2, Issue 1 August 2010
This paper introduces the performance evaluation of statistical approaches for TextIndependent speaker recognition system using source feature. Linear prediction LP residual is used as a representation of excitation information in speech. The speaker
Externí odkaz:
http://arxiv.org/abs/1104.4681
Publikováno v:
InterJRI Computer Science and Networking, Volume 1, pp 43-48, 2009
Although a lot of research has taken place in Object Oriented Design of software for Real Time systems and mapping of design models to implementation models, these methodologies are applicable to systems which are less complex and small in source cod
Externí odkaz:
http://arxiv.org/abs/1001.5358
Publikováno v:
ICCDA, ICSPS, IEEE Computer Society Press, pp 766-770, 2009
Software engineering is continuously facing the challenges of growing complexity of software packages and increased level of data on defects and drawbacks from software production process. This makes a clarion call for inventions and methods which ca
Externí odkaz:
http://arxiv.org/abs/1001.3555
Autor:
Archana, Kande, Prasad, V. Kamakshi
Publikováno v:
Jordanian Journal of Computers & Information Technology; Mar2024, Vol. 10 Issue 1, p32-45, 14p
Autor:
Geeta, Koppula, Prasad, V. Kamakshi
Publikováno v:
Service Oriented Computing & Applications; Dec2023, Vol. 17 Issue 4, p277-291, 15p
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 6s (2023): (Articles in Press); 490-499
Lung cancer is a disease with a high mortality rate and widespread occurrence. Therefore, developing accurate prediction methods and practical gene association analyses is crucial. The utilization of high-throughput genomic data to reveal significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn21476799::c8ba25b7aa393a0e08ac25216118d7a6
https://www.ijisae.org/index.php/IJISAE/article/view/2874
https://www.ijisae.org/index.php/IJISAE/article/view/2874
Publikováno v:
Journal of Intelligent Systems, Vol 23, Iss 4, Pp 405-421 (2014)
Speaker recognition (SR) under mismatched conditions is a challenging task. Speech signal is nonlinear and nonstationary, and therefore, difficult to analyze under realistic conditions. Also, in real conditions, the nature of the noise present in spe
Externí odkaz:
https://doaj.org/article/15e5885c995840ca9d096f2f27c45a43
Publikováno v:
Journal of Intelligent Systems, Vol 23, Iss 4, Pp 359-378 (2014)
The performance of most of the state-of-the-art speaker recognition (SR) systems deteriorates under degraded conditions, owing to mismatch between the training and testing sessions. This study focuses on the front end of the speaker verification (SV)
Externí odkaz:
https://doaj.org/article/373a6d7adba44e3ba4673c4c34ab2183
Publikováno v:
Journal of Intelligent Systems, Vol 22, Iss 3, Pp 269-282 (2013)
In this article, a new adaptive data-driven strategy for voice activity detection (VAD) using empirical mode decomposition (EMD) is proposed. Speech data are decomposed using an a posteriori, adaptive, data-driven EMD in the time domain to yield a se
Externí odkaz:
https://doaj.org/article/5545b534d576436792551e57d2d9e93d
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1126:012062
The most widely used composite construction material is concrete. Compressive strength is an important monitoring parameter for quality assurance at construction site. In this paper,two different models of Multiple Linear Regression ( MLR) and Adapti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f265e5808fb410f6f80ba1c6ba06c0b
https://doi.org/10.1088/1757-899x/1126/1/012062
https://doi.org/10.1088/1757-899x/1126/1/012062