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Speaker Adaptation in Sparse Subspace of Acoustic Models
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/06/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
eigenvoice speaker adaptation, robust speech recognition, sparse principal component analysis, speaker adaptation, speech recognition,
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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.