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Speaker adaptation using tree structured shared-state HMMs
Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96
This paper proposes a novel speaker adaptation method that exibly controls state-sharing of HMMs according to the amount of adaptation data. In our scheme, acoustic modeling is combined with adaptation to eciently utilize the acoustic models sharing characteristics for adaptation. The shared-state set of HMMs is determined by using tree-structured shared-state HMMs created from the history recorded for acoustic model generation. The proposed method is applied to the parameter-tying and
doi:10.1109/icslp.1996.607810
fatcat:n7n2codmqjfhhjnpw6uu22af3m