Optimization of learned dictionary for sparse coding in speech processing

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Optimization of learned dictionary for sparse coding in speech processing

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作者：Yongjun He^a ; ^{heyongjun@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Guanglu Sun^a ; ^{sunguanglu@hrbust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jiqing Han^b ; ^{jqhan@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae
关键词：Sparse coding ; Speech denoising ; Speech recognition ; Dictionary optimization
刊名：Neurocomputing
出版年：2016
出版时间：15 January 2016
年：2016
卷：173
期：part_P3
页码：471-482
全文大小：1711 K

文摘

•: Analyze the assumptions of sparse coding.
•: Analyze the distortion of reconstructed signals in theory.
•: Propose two optimization methods which improve a given dictionary by atom selection, rather than providing an improved method.
•: Present several measures for dictionary evaluation.

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