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Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature
Acoustic-to-articulatory inversion (AAI) is to obtain the movement of articulators from speech signals.
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space
There have been a lot of researches based on the time series of the wind power or speed, but In fact, these time series cannot express the temporal and spatial changes of wind, which fundamentally hinders the advance of wind power prediction.
Speech Emotion Recognition Considering Local Dynamic Features
Recently, increasing attention has been directed to the study of the speech emotion recognition, in which global acoustic features of an utterance are mostly used to eliminate the content differences.
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