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UnderstandingAdaptive, MultiscaleTemporal IntegrationInDeepSpeechRecognitionSystems

Neural Information Processing Systems

A central challenge of representing natural signals, such as speech and music, is that they are structured across many different timescales (Chomsky and Halle, 1968; Lerdahl and Jackendoff, 1985; Hickokand Poeppel, 2007).



a815fe7cad6af20a6c118f2072a881d2-Paper-Conference.pdf

Neural Information Processing Systems

Neural processes (NPs) formulate exchangeable stochastic processes and are promising models for meta learning that do not require gradient updates during thetestingphase.