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Apparatus and method for improving codec compression efficiency using artificial intelligence technology

机译:使用人工智能技术提高编解码器压缩效率的装置和方法

摘要

The present embodiments provide a method for improving codec compression efficiency performed by a computing device including one or more processors and a memory for storing one or more programs executed by the processor, converting characteristics of an original signal according to input voice or audio to generate a low-resolution signal, encoding and decoding a low-resolution signal through a standard codec and codec simulating module to generate a distorted signal, and post-processing the distorted signal to restore the resolution of the input original signal and restore it Codec compression efficiency, characterized in that it is implemented to learn in an end-to-end method based on a deep learning network structure so that the codec simulation module plays a role similar to a standard codec Suggest ways to improve.
机译:本实施例提供了一种用于提高由包括一个或多个处理器的计算设备执行的编解码器压缩效率和用于存储由处理器执行的一个或多个程序的存储器,根据输入的语音或音频来改变原始信号的特征来生成一个或多个 通过标准编解码器和编解码器模拟模块进行低分辨率信号,编码和解码低分辨率信号,以产生失真的信号,并后处理失真信号以恢复输入原始信号的分辨率并恢复其编解码器压缩效率, 其特征在于它被实施为基于深度学习网络结构的端到端方法学习,以便编解码器仿真模块扮演类似于标准编解码器的角色提出了改进的方法。

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