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Reducing Musical Noise in Transform Based Audio Codecs

机译:减少基于变换的音频编解码器中的音乐噪声

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This paper addresses the problem of musical noise in transform-based audio codecs. This artifact occurs when encoding audio segments with a noise-like spectrum, at low bit rates where signal quantization results in significant zero-valued coefficients. Due to the quantization commonly used, bands containing several non-zero coefficients are quantized to only one or two, giving rise to a musical artifact. This has been identified in other codecs, such as in CELT/OPUS, where a special transform is used prior to quantization to remedy the problem. In this paper, we provide a modified approach consisting of a Hadamard transform combined with an interleaving scheme. Simulation shows the proposed method has a lower complexity and yields improved perceptual scores as measured by PEAQ.
机译:本文解决了基于变换的音频编解码器中的音乐噪声问题。当在低比特率下以类似噪声的频谱对音频片段进行编码时,就会出现这种伪影,其中信号量化会导致产生明显的零值系数。由于通常使用的量化,包含几个非零系数的频带仅被量化为一个或两个,从而产生了音乐伪像。其他编解码器(例如CELT / OPUS)已对此进行了识别,其中在量化之前使用了特殊的变换来解决该问题。在本文中,我们提供了一种由Hadamard变换与交织方案相结合的改进方法。仿真表明,所提出的方法具有较低的复杂度,并且通过PEAQ测得的感知分数得到改善。

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