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Estimation of Noise Parameter and Detection of Speech Activity

 

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  • Product Description
 

The most critical and difficult problem in speech analysis is reliable discrimination among Silence, Unvoiced and Voiced speech. Several methods have been proposed for making this three levels decision and most of them need Speech Activity Detection (SAD). In this study, we propose the Estimated Degree of Noise (EDON) to adjust the threshold of speech activity. To estimate the degree of noise, a function was previously prepared using the least-squares (LS) method, from the given (true) DON and the estimated parameter of DON. This parameter is obtained from the Auto-Correlation Function (ACF) of the noisy speech on a frame basis. Issues associated with this EDON for SAD approach are discussed, and experiments are done using the TIMIT database. Experimental result shows that using EDON improves the classification performance specially voiced and silent parts and the efficiency is compared with other existing published algorithms.

Product Specifications
SKU :COC72210
AuthorMahmudul Hasan Raju
LanguageEnglish
BindingPaperback
Number of Pages88
Publishing Year2011-09-30T00:00:00.000
ISBN978-3846518236
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00
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