Hiroki Kanagawa

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Feature-space maximum-likelihood linear regression(fMLLR) transforms acoustic features to adapted ones by a multiplication operation with a single transformation matrix. This property realizes an efficient adaptation performed within a pre-precessing, which is independent of a decoding process, and this type of adaptation can be applied to deep neural(More)
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