Statistical spectral estimation and discriminant analysis of the bivariate time series-an application to the voice recognition on Chinese speaking of several people

CHUR > College of Management > Department of Applied Statistics > Journal Articles > Item 987654321/35909

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/35909

Title:	Statistical spectral estimation and discriminant analysis of the bivariate time series-an application to the voice recognition on Chinese speaking of several people
Authors:	羅琪 Lo, Chi
Contributors:	應用統計學系 Applied Statistics
Keywords:	bivariate time series;spectral estimation;discriminant analysis;speech recognition
Date:	2012
Issue Date:	2014-06-27 10:55:33 (UTC+8)
Abstract:	The extension of classical pattern-recognition techniques to experimental time series data is a problem of great practical interest. An important application in engineering is to the problem of discriminating between various speech patterns. Throughout th
Appears in Collections:	[Department of Applied Statistics] Journal Articles

Files in This Item:

File	Description	Size	Format
p_e313_0042.pdf		27Kb	Adobe PDF	157	View/Open