Umarani, S D and Raviram, P and Wahidabanu, R S D (2009) UNSPECIFIED In: Multi-Agent Systems (IAMA 2009), Chennai, India.
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Official URL: https://doi.org/10.1109/IAMA.2009.5228022
Abstract
Speech recognition system using cepstrum analysis for feature extraction. Features fed into Hidden Markov Model (HMM) followed by Radial Basis Function (RBF) training. During testing, words matched to database; unmatched words added for future recognition. ©2009 IEEE. © 2009 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science > Artificial Intelligence Computer Science > Computer Science Applications Computer Science > Computational Theory and Mathematics Computer Science > Software |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 10 Dec 2025 07:07 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/4386 |
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