Kernel Eigenspace-Based MLLR Adaptation
نویسندگان
چکیده
منابع مشابه
Kernel Eigenspace-based Mllr Adaptation Using Multiple Regression Classes
Recently, we have been investigating the application of kernel methods to improve the performance of eigenvoice-based adaptation methods by exploiting possible nonlinearity in their original working space. We proposed the kernel eigenvoice adaptation (KEV) in [1], and the kernel eigenspace-based MLLR adaptation (KEMLLR) in [2]. In KEMLLR, speaker-dependent MLLR transformation matrices are mappe...
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Eigenspace-based MLLR (EMLLR) adaptation has been shown effective for fast speaker adaptation. It applies the basic idea of eigenvoice adaptation, and derives a small set of eigenmatrices using principal component analysis (PCA). The MLLR adaptation transformation of a new speaker is then a linear combination of the eigenmatrices. In this paper, we investigate the use of kernel PCA to find the ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech and Language Processing
سال: 2007
ISSN: 1558-7916
DOI: 10.1109/tasl.2006.885941