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"title": "Improved Histogram Equalization Methods for Robust Speech Recognition", |
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"authors": [ |
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"first": "Hsin-Ju", |
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"first": "Jeih-Weih", |
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"last": "Hung", |
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"text": "hsinju@ntnu.edu.tw, berlin@ntnu.edu.tw, jwhung@ncnu.edu.tw (Histogram Equalization, HEQ) [1] ( 1.72% (Advanced Front-End Standard, AFE) [7] 87.17%", |
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"text": "Spatial-Temporal Contextual Statistics) (Differencing) (Averaging) : ( , ) ( 1, ) , 2 ( , ) 2 ( , ), 1 ( , ) ( 1, ) , 2 ( , ) 2 0, 1 s diff s avg x d t x d t d D x d t x d t d x d t x d t d D x d t d ( diff ( diff ( avg ( avg ( 1, ) 2 d ( 1, ( 1, d ( ) x( ) d D ( , ) x( , ) ( , ) 1 0, 0 d 1 ( , ) s diff x d t ( diff ( diff ( , ) s avg x d t ( avg ( avg ( , ) t diff x d t ( diff ( diff ( , ) t avg x d t ( avg ( avg ( , ) diff x d t ( , )", |
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"text": "Keywords: automatic speech recognition, noise robustness, histogram equalization, feature contextual statistics.", |
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"section": "88.22% 8%", |
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"text": "Proceedings of the Twenty-Fourth Conference on Computational Linguistics and Speech Processing(ROCLING 2012)", |
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