Nonuniform filterbank design for audio signal modeling

Michael Goodwin
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引用次数: 7

Abstract

In audio analysis-synthesis based on the sinusoidal model, the signal can be represented as the sum of a deterministic component, which consists of a sum of sinusoids, and a stochastic component, which is a broadband noiselike process, for instance breath noise in a flute. In coding applications, a signal estimate based solely on the deterministic component is often used. For high-fidelity synthesis, however the stochastic component must also be modeled and incorporated into the signal reconstruction. This paper presents a simple approach for designing a nonuniform filterbank based on the properties of the human auditory system; the short-term energies of the subband signals of the nonuniform filterbank provide an effective parameterization of the stochastic component of the signal model.
音频信号建模的非均匀滤波器组设计
在基于正弦模型的音频分析合成中,信号可以表示为确定性分量(由正弦波和组成)和随机分量(宽带类噪声过程,例如长笛中的呼吸噪声)的和。在编码应用中,通常只使用基于确定性分量的信号估计。然而,为了实现高保真合成,还必须对随机分量进行建模并将其纳入信号重建中。本文提出了一种基于人类听觉系统特性的非均匀滤波器组设计方法;非均匀滤波器组的子带信号的短期能量为信号模型的随机分量提供了有效的参数化。
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