Applying feature reduction analysis to a PPRLM-multiple Gaussian language identification system

Lucas Cuesta, Juan Manuel and Córdoba Herralde, Ricardo de and D'haro Enríquez, Luis Fernando (2008). Applying feature reduction analysis to a PPRLM-multiple Gaussian language identification system. In: "V Jornadas de Tecnología del Habla", 12/11/2008-14/11/2008, Bilbao. ISBN 978-84-9860-169-5. pp. 29-32.

Description

Title: Applying feature reduction analysis to a PPRLM-multiple Gaussian language identification system
Author/s:
  • Lucas Cuesta, Juan Manuel
  • Córdoba Herralde, Ricardo de
  • D'haro Enríquez, Luis Fernando
Item Type: Presentation at Congress or Conference (Article)
Event Title: V Jornadas de Tecnología del Habla
Event Dates: 12/11/2008-14/11/2008
Event Location: Bilbao
Title of Book: Actas de V Jornadas de Tecnología del Habla
Date: 2008
ISBN: 978-84-9860-169-5
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents the application of a feature selection technique such as LDA to a language identification (LID) system. The baseline system consists of a PPRLM module followed by a multiple-Gaussian classifier. This classifier makes use of acoustic scores and duration features of each input utterance. We applied a dimension reduction of the feature space in order to achieve a faster and easier-trainable system. We imputed missing values of our vectors before projecting them on the new space. Our experiments show a very low performance reduction due to the dimension reduction approach. Using a single dimension projection the error rates we have obtained are about 8.73% taking into account the 22 most significant features.

More information

Item ID: 3189
DC Identifier: http://oa.upm.es/3189/
OAI Identifier: oai:oa.upm.es:3189
Official URL: http://jth2008.ehu.es/cd/pdfs/actas.pdf
Deposited by: Memoria Investigacion
Deposited on: 04 Jun 2010 09:36
Last Modified: 20 Apr 2016 12:43
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