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Speaker Adaptation Based on PARAFAC2 of Transformation Matrices for Continuous Speech Recognition
Yongwon JEONG Sangjun LIM Young Kuk KIM Hyung Soon KIM
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/09/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
maximum likelihood linear regression, parallel factor analysis, PARAFAC2, speaker adaptation, speech recognition,
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We present an acoustic model adaptation method where the transformation matrix for a new speaker is given by the product of bases and a weight matrix. The bases are built from the parallel factor analysis 2 (PARAFAC2) of training speakers' transformation matrices. We perform continuous speech recognition experiments using the WSJ0 corpus.