On the Use of Evolutionary Algorithms to Improve the Robustness of Continuous Speech Recognition Systems in Adverse Conditions

On the Use of Evolutionary Algorithms to Improve the Robustness of Continuous Speech Recognition Systems in Adverse Conditions

Limiting the decrease in performance due to acoustic environment changes remains a major challenge for continuous speech recognition (CSR) systems. We propose a novel approach which combines the Karhunen-Loève transform (KLT) in the mel-frequency domain with a genetic algorithm (GA) to enhance th...

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Bibliographic Details
Main Authors: Sid-Ahmed Selouani, Douglas O'Shaughnessy
Format: Article
Language:English
Published: SpringerOpen 2003-07-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
speech recognition
genetic algorithms
Karhunen-Loève transform
hidden Markov models
robustness.
Online Access:http://dx.doi.org/10.1155/S1110865703302070

Internet

http://dx.doi.org/10.1155/S1110865703302070

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