Audio generation (synthesis) is the task of generating raw audio such as speech.
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Generative Adversarial Networks (GANs) have become exceedingly popular in a wide range of data-driven research fields, due in part to their success in image generation.
Neural NLP systems achieve high scores in the presence of sizable training dataset.
AUDIO GENERATION DATA AUGMENTATION DEPENDENCY PARSING IMAGE CLASSIFICATION MACHINE TRANSLATION PART-OF-SPEECH TAGGING QUESTION ANSWERING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS SPEECH RECOGNITION TEXT CLASSIFICATION
By recovering the missing modality from the existing one based on the common information shared between them and the prior information of the specific modality, great bonus will be gained for various vision tasks.
Today when many practitioners run basic NLP on the entire web and large-volume traffic, faster methods are paramount to saving time and energy costs.