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- W2293640355 abstract "In our previous study, we proposed factored MLLR (FMLLR) where each MLLR parameter is defined as a function of a control vector. We presented a method to train the FMLLR parameters based on a general framework of the expectationmaximization (EM) algorithm. In this paper, we extend the FMLLR structure from diagonal to unrestricted full matrix with a sophisticated algorithm for the training of relevant parameters. In the experiments on artificial generation of singing voice, we evaluate the performance of the FMLLR technique with two matrix structures and also compare with other approaches to parameter adaptation in HMM-based speech synthesis. Index Terms: Parameter adaptation, MLLR, HRHSMM, factored MLLR" @default.
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- W2293640355 date "2011-08-27" @default.
- W2293640355 modified "2023-09-26" @default.
- W2293640355 title "Factored MLLR adaptation for singing voice generation" @default.
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- W2293640355 doi "https://doi.org/10.21437/interspeech.2011-698" @default.
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