Feature Compensation with Model-Based Estimation for Noise Masking(Speech and Hearing)
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概要
- 論文の詳細を見る
In this letter, we propose a new approach to estimate the degree of noise masking based on a sophisticated model for clean speech distribution. This measure, named as noise masking probability (NMP), is incorporated into the feature compensation technique to achieve robust speech recognition in noisy environments. Experimental results show that the proposed approach improves the performance of the baseline recognition system in the presence of various background noises.
- 社団法人電子情報通信学会の論文
- 2007-02-01
著者
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KIM Nam
School of Electrical and Computer Engineering, Chungbuk National University
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Kim Young
School Of Life Science And Biotechnology Kyungpook National University
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Kim Nam
Seoul National Univ. Seoul Kor
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Kim Young
School Of Advanced Materials Science And Engineering Sungkyunkwan Univ.
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Kim Young
School Of Electrical Engineering Seoul National University:electronics And Telecommunications Resear
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Kim Nam
School Of Electrical And Computer Engineering Chungbuk National University
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Kim Nam
School Of Electrical And Computer Engineering Chungbuk National Univ.
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