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pro vyhledávání: '"Venkataraman Muthiah-Nakarajan"'
Publikováno v:
Applied Artificial Intelligence, Vol 33, Iss 4, Pp 295-310 (2019)
This paper reports an original technique for accurately estimating the parameters of human vocal tract filters for vowels in English for speech processing applications such as voice recognition. In this paper, the vocal tract filter design problem is
Externí odkaz:
https://doaj.org/article/7edf5027f8ba4b9593aa2a7528f9636f
Publikováno v:
Applied Artificial Intelligence. 33:295-310
This paper reports an original technique for accurately estimating the parameters of human vocal tract filters for vowels in English for speech processing applications such as voice recognition. In...
Autor:
Venkataraman Muthiah-Nakarajan, Advait Sanjay Trivedi, Mathew Mithra Noel, Geraldine Bessie Amali
Publikováno v:
Expert Systems with Applications. 183:115408
A new biologically inspired derivative-free global optimization algorithm called Firebug Swarm Optimization (FSO) inspired by reproductive swarming behaviour of Firebugs (Pyrrhocoris apterus) is proposed. The search for fit reproductive partners by i
Publikováno v:
Sustainable Energy Technologies and Assessments. 45:101167
This article presents a different type of home energy management algorithm for a residence consisting of solar PV, battery storage units, electric vehicles with different driving profiles, critical and noncritical loads. The primary objective of the
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1099:012021
Multi population algorithms have noted advantages over single population algorithms when optimizing over multimodal function space. The existence of multiple attractors allows exploration on multiple optimality regions which in turn provide more expl
Publikováno v:
Applied Soft Computing. 38:771-787
Graphical abstractDisplay Omitted HighlightsA new global optimization meta-heuristic inspired by galactic motion is proposed.The proposed algorithm employs alternating phases of exploration and exploitation.Performance on rotated and shifted versions