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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.
Title: | Applying feature reduction analysis to a PPRLM-multiple Gaussian language identification system |
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Author/s: |
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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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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.
Item ID: | 3189 |
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DC Identifier: | https://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 |