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Articulatory movements and acoustic features are important descriptions of speech and both of them contain speakerspecific components. This paper is to evaluate if the combination of the two features can improve the performance of speaker adaptation for articulatory movements estimation. HMM-based systems are built with single-stream and multistream, independent clustering and shared clustering structures. The speaker adaptation is realized in stream-independent structure and shared adaptationdoi:10.1109/icassp.2015.7178911 dblp:conf/icassp/LiTW15 fatcat:xh75a3iz7zbdbkixzrfwhimkfq