心理声学模型掩蔽展开算法的优化

Liu Hong-fu, Zhang Cong, Li Rui-fan
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引用次数: 1

摘要

MPEG-4 AAC音频编码是目前应用最广泛的音频编码方式,但MPEG-4 AAC音频编码标准复杂度高、时延长、计算量大,不利于实时应用。心理声学模型是音频编码器的核心部分,因此也存在巨大的计算量。通过对心理声学掩蔽扩展特性的研究,改进了传播函数的计算过程,减少了心理声学的计算量,缩短了编码时间,并给出了实验结果,对实时音频编码的研究具有重要的实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Masking Expansion Algorithm in Psychoacoustic Models
MPEG-4 AAC audio coding is the most widely used audio coding at present, but the MPEG-4 AAC audio coding standard has high complexity, long time delay and huge computation, what's more, it is not beneficial for real-time applications. Psychoacoustic model is the core part of the audio encoder, so huge computation also exists. Through researching the masking expansion feature of psychoacoustic, the computation process of the spread function is improved, the psychoacoustic computation decreased, the coding time is reduced, and the experimental results are given, which has important practical meaning to the research of real-time audio coding.
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