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Phoneme-to-Articulatory Mapping Using Bidirectional Gated RNN
2018
Interspeech 2018
Deriving articulatory dynamics from the acoustic speech signal has been addressed in several speech production studies. In this paper, we investigate whether it is possible to predict articulatory dynamics from phonetic information without having the acoustic speech signal. The input data may be considered as not sufficiently rich acoustically, as probably there is no explicit coarticulation information but we expect that the phonetic sequence provides compact yet rich knowledge. Motivated by
doi:10.21437/interspeech.2018-1202
dblp:conf/interspeech/Biasutto-Lervat18
fatcat:anxzcopwdrbzfkd5gxtbnmaa3y