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Voice conversion based on deep neural networks for time-variant linear transformations., , and . APSIPA, page 1259-1262. IEEE, (2017)A method for generation of Mandarin F0 contours based on tone nucleus model and superpositional model., , and . Speech Commun., 54 (8): 932-945 (2012)Experimental investigation on the efficacy of Affine-DTW in the quality of voice conversion., , , and . APSIPA, page 119-124. IEEE, (2019)A measure of phonetic similarity to quantify pronunciation variation by using ASR technology., , , , , and . ICPhS, University of Glasgow, (2015)Identification of accent and intonation in sentences for CALL systems., , , and . INTERSPEECH, page 2455-2458. ISCA, (2001)Automatic detection of accent nuclei at the head of words for speech recognition., and . ICSLP, page 1620-1623. ISCA, (1996)Prosodic analysis and modeling of the NAGAUTA singing to synthesize its prosodic patterns from the standard notation., , and . INTERSPEECH, page 385-388. ISCA, (2003)A pronunciation training system for Japanese lexical accents with corrective feedback in learner's voice., , and . INTERSPEECH, page 3149-3152. ISCA, (2003)Automatic estimation of perceptual age using speaker modeling techniques., , and . INTERSPEECH, page 3005-3008. ISCA, (2003)Modeling phone correlation for speaker adaptive speech recognition., , and . INTERSPEECH, page 350-353. ISCA, (2000)