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Enhancing the Quality of Coded Audio Using Perceptual Criteria

机译:使用感知标准增强编码音频的质量

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Code excited linear predictive (CELP) coding standards often fail to properly represent non-speech signals because they are inherently optimized for speech. Most modern CELP coders include provisions for the inclusion of indirect perceptual criteria to counteract this problem; however no direct psychoacoustic models are employed. In this paper, we present a pre- and postprocessor for the vocoder that makes use of the MPEG-1 psychoacoustic model 1 in order to enhance the quality of the coded audio. A novel frequency-domain technique is proposed that attempts to shape the residual of a vocoder such that it falls below psychoacoustic thresholds
机译:代码激励线性预测(CELP)编码标准通常无法正确代表非语音信号,因为它们本质地针对语音进行了优化。 大多数现代CELP编码人员包括包含间接感知标准来抵消这一问题的规定; 但是,没有采用直接的心理声学模型。 在本文中,我们为使用MPEG-1精神声学模型1提供了一个用于声码器的预处理器,以提高编码音频的质量。 提出了一种新的频域技术,试图塑造声码器的残余,使得它低于心理声学阈值

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