A Speech Feature Vector based on its Maximum Phase Component

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Timoney, Joseph, Feely, Stephen, Jackie, O'Kelly and Lysaght, Thomas (2001) A Speech Feature Vector based on its Maximum Phase Component. In: Irish Signals and Systems Conference 2005, September 1-2 2005, Dublin City University.

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Abstract

This paper examines the performance of a vowel classification scheme using a new form of feature vector derived from a decomposition of the speech segment into Maximum Phase and Minimum Phase components. Justification for this approach in terms of its perceptual relevance is first made, followed by a signal processing scheme to obtain the components. The form for the feature vector is then discussed. Lastly, experimental work compares the performance of this new feature vector under a variety of distortion conditions with the contemporary popular choice of Mel-Frequency Cepstral Coefficients.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Speech Processing; Pitch Detection; CMOS Hardware;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Electronic Engineering
Item ID:	4145
Depositing User:	Joseph Timoney
Date Deposited:	31 Jan 2013 09:46
Refereed:	Yes
URI:	https://mu.eprints-hosting.org/id/eprint/4145
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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A Speech Feature Vector based on its Maximum Phase Component

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