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Processing sequences using convolutional neural networks

机译:使用卷积神经网络处理序列

摘要

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing sequences using convolutional neural networks. One of the methods includes, for each of the time steps: providing a current sequence of audio data as input to a convolutional subnetwork, wherein the current sequence comprises the respective audio sample at each time step that precedes the time step in the output sequence, and wherein the convolutional subnetwork is configured to process the current sequence of audio data to generate an alternative representation for the time step; and providing the alternative representation for the time step as input to an output layer, wherein the output layer is configured to: process the alternative representation to generate an output that defines a score distribution over a plurality of possible audio samples for the time step.
机译:方法,系统和设备,包括在计算机存储介质上编码的计算机程序,用于使用卷积神经网络处理序列。其中一项方法包括每个时间步骤:提供作为输入到卷积子网的输入的当前音频数据序列,其中当前序列包括在每个时间步骤在输出序列中的时间步骤之前的每个时间步骤,并且其中卷积子网被配置为处理当前音频数据序列以为时间步长生成替代表示;向输出层提供作为输入的时间步骤的替代表示,其中输出层被配置为:处理替代表示以生成用于在时间步骤的多个可能的音频样本上定义得分分布的输出。

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