A Deep Neural Network for Acoustic-Articulatory Speech Inversion

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Deep Learning: Methods and Applications (2014, background): “For interested readers, please consult recent papers on the applications of deep learning to optimal control in [219], to reinforcement learning in [256], to malware classification in [66], to compressed sensing in [277], to recognition confidence prediction in [173], to acoustic-articulatory invers”
Modeling Spectral Envelopes Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis (2013, background): “[25], where they mainly act as the pre-training methods for a”
Modeling spectral envelopes using restricted Boltzmann machines for statistical parametric speech synthesis (2013, methodology): “Finally, the context-dependent RBM-HMMs can be constructed for modeling the spectral envelopes.”