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A Method on the Improvement of Speaker Enrolling Speed for a Multilayer Perceptron Based Speaker Verification System through Reducing Learning Data  

이백영 (한국항공대학교 항공전자공학과)
황병원 (한국항공대학교 항공전자공학과)
이태승 (한국항공대학교 항공전자공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.6, 2002 , pp. 585-591 More about this Journal
Abstract
While the multilayer perceptron(MLP) provides several advantages against the existing pattern recognition methods, it requires relatively long time in learning. This results in prolonging speaker enrollment time with a speaker verification system that uses the MLP as a classifier. This paper proposes a method that shortens the enrollment time through adopting the cohort speakers method used in the existing parametric systems and reducing the number of background speakers required to learn the MLP, and confirms the effect of the method by showing the result of an experiment that applies the method to a continuant and MLP-based speaker verification system.
Keywords
Multilayer perceptron; Speaker verification; Cohort speakers; Speech recognition; Pattern recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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