GENERAL MEDIA NEURAL NETWORK PREDICTOR AND A GENERATIVE MODEL INCLUDING SUCH A PREDICTOR

A neural network system for predicting frequency coefficients of a media signal, the neural network system comprising a time predicting portion including at least one neural network trained to predict a first set of output variables representing a specific frequency band of a current time frame give...

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Bibliographische Detailangaben
Hauptverfasser: Zhou, Cong, Villemoes, Lars, Davidson, Grant A, Vinton, Mark S
Format: Patent
Sprache:eng
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Zusammenfassung:A neural network system for predicting frequency coefficients of a media signal, the neural network system comprising a time predicting portion including at least one neural network trained to predict a first set of output variables representing a specific frequency band of a current time frame given coefficients of one or several previous time frames, and a frequency predicting portion including a at least one neural network trained to predict a second set of output variables representing a specific frequency band given coefficients of one or several frequency bands adjacent to the specific frequency band in said current time frame. Such a neural network system forms a predictor capable of capturing both temporal and frequency dependencies occurring in time-frequency tiles of a media signal.