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An Improvement of the MLP Based Speaker Verification System through Improving the learning Speed and Reducing the Learning Data  

Lee, Baek-Yeong (Dept. of Aviation Eng,. Hankuk Aviation University)
Lee, Tae-Seung (Dept. of Aviation Eng,. Hankuk Aviation University)
Hwang, Byeong-Won (Dept. of Aviation Eng,. Hankuk Aviation University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.39, no.3, 2002 , pp. 88-98 More about this Journal
Abstract
The multilayer perceptron (MLP) has several advantages against other pattern recognition methods, and is expected to be used as the learning and recognizing speakers of speaker verification system. But because of the low learning speed of the error backpropagation (EBP) algorithm that is used for the MLP learning, the MLP learning requires considerable time. Because the speaker verification system must provide verification services just after a speaker's enrollment, it is required to solve the problem. So, this paper tries to make short of time required to enroll speakers with the MLP based speaker verification system, using the method of improving the EBP learning speed and the method of reducing background speakers which adopts the cohort speakers method from the existing speaker verification.
Keywords
speaker verification; multilayer perceptron; error backpropagation; cohort speakers; pattern recognition;
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