Noise Reduction in Automatic Detection of Hypernasality in Children

  In this paper a methodology to reduce the background noise in a hypernasality detector system using spectral subtraction method is presented, some classical measures of quality and intelligibility are used to evaluate the speech enhancements algorithms used in the system. A linear classifier is us...

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Bibliographic Details
Published inTecno - Lógicas (Instituto Tecnológico Metropolitano) pp. 29 - 42
Main Authors Helber A. Carvajal-Castaño, Jesús F. Vargas-Bonilla, Claudia V. Isaza-Narvaez
Format Journal Article
LanguageEnglish
Published Instituto Tecnológico Metropolitano 01.11.2013
Subjects
medidas de calidad
mejora señales voz
Reducción de ruido
sustracción espectral
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Summary:  In this paper a methodology to reduce the background noise in a hypernasality detector system using spectral subtraction method is presented, some classical measures of quality and intelligibility are used to evaluate the speech enhancements algorithms used in the system. A linear classifier is used for the hypernasality detection and the results obtained with different spectral subtraction algorithms are compared. The results show that the spectral subtraction techniques can be used to improve the performance of the classifier in the detection of hypernasality when signals are contaminated with additive noise.
ISSN:0123-7799
2256-5337