Speaker Adaptation in Sparse Subspace of Acoustic Models

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概要

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• I propose an acoustic model adaptation method using bases constructed through the sparse principal component analysis (SPCA) of acoustic models trained in a clean environment. I perform experiments on adaptation to a new speaker and noise. The SPCA-based method outperforms the PCA-based method in the presence of babble noise.

著者

• Jeong Yongwon

  School Of Electrical Engineering Eng-038 Seoul National University

• JEONG Yongwon

  School of Electrical Engineering, Pusan National University

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