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Modified Cerebellar Model Articulation Controller (MCMAC) as an amplitude spectral estimator for speech enhancement

Abdul Rahman, Abdul Wahab and Tan, Eng Chong and Abut, Huseyin (2005) Modified Cerebellar Model Articulation Controller (MCMAC) as an amplitude spectral estimator for speech enhancement. In: DSP for in-vehicle and mobile systems. Springer US, Boston, pp. 123-137. ISBN 978-0-387-22978-2 (P), 978-0-387-22979-9 (O)

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Abstract

In this chapter, we present a modified cerebellar model articulation controller (MCMAC) to be used together with the amplitude spectral estimator (ASE) for enhancing noisy speech. The MCMAC training overcomes the limitations of the CMAC technique we have employed noise/echo cancellation in a vehicular environment. While the CMAC in the training mode has trained only the trajectory it has visited by controlling the reference input, the modified MCMAC-ASE system architecture proposed in this work includes multiple MCMAC memory trainable for different noise sources.

Item Type: Book Chapter
Additional Information: 6145/38189
Uncontrolled Keywords: Cerebellar model articulation controller (CMAC), speech enhancement, echo cancellation, in-car noise, amplitude spectral estimation, Wiener filtering, Kohonen’s self-organizing neural network (SFON), Grossberg learning rule, neighborhood function, and MOS.
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 11 Sep 2014 16:38
Last Modified: 11 Sep 2014 16:38
URI: http://irep.iium.edu.my/id/eprint/38189

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