A Dynamic Compressive Gammachirp Auditory Filterbank.

A Dynamic Compressive Gammachirp Auditory Filterbank.
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DOI:
10.1109/tasl.2006.874669
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发表时间:
2006-11
期刊:
IEEE transactions on audio, speech, and language processing
影响因子:
--
通讯作者:
Patterson RD
Patterson RD
中科院分区:
其他
文献类型:
--
作者:
Irino T;Patterson RD

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现在,在音频信号处理器的开发中使用人类听觉处理的知识是很常见的。然而,直到最近,这样的系统还受到其线性的限制。听觉过滤系统被认为是水平依赖的,这是由掩蔽、压缩和双音抑制的心理物理数据所证明的。然而,目前还没有使用非线性滤波器组的分析/合成方案。本文介绍了一种基于压缩伽玛机(cGC)听觉滤波器的18300060方案。它的发展是为了扩展伽玛酮过滤器的概念,以适应心理物理过滤器形状的变化,这种变化是在同时发生的刺激水平的变化中观察到的,噪声中的音调掩蔽。在同时噪声掩蔽模型中,滤波的时间动态可以忽略。然而,分析/合成系统是用于声门周期相对于听觉时间常数可能较长的语音,因此它们需要对听觉滤波器的时间动态进行规范。在本文中,我们描述了cGC滤波器的快速电平控制电路,并展示了如何使用涉及双音抑制和压缩的心理物理数据来估计该动态版本的cGC滤波器(称为“dcGC”滤波器)的参数值。具有dcGC滤波器组的分析/合成系统的一个重要优点是,它们可以继承以前使用传统短时傅里叶变换(STFTs)和线性滤波器组开发的精细信号处理算法。
It is now common to use knowledge about human auditory processing in the development of audio signal processors. Until recently, however, such systems were limited by their linearity. The auditory filter system is known to be level-dependent as evidenced by psychophysical data on masking, compression, and two-tone suppression. However, there were no analysis/synthesis schemes with nonlinear filterbanks. This paper describe18300060s such a scheme based on the compressive gammachirp (cGC) auditory filter. It was developed to extend the gammatone filter concept to accommodate the changes in psychophysical filter shape that are observed to occur with changes in stimulus level in simultaneous, tone-in-noise masking. In models of simultaneous noise masking, the temporal dynamics of the filtering can be ignored. Analysis/synthesis systems, however, are intended for use with speech sounds where the glottal cycle can be long with respect to auditory time constants, and so they require specification of the temporal dynamics of auditory filter. In this paper, we describe a fast-acting level control circuit for the cGC filter and show how psychophysical data involving two-tone suppression and compression can be used to estimate the parameter values for this dynamic version of the cGC filter (referred to as the “dcGC” filter). One important advantage of analysis/synthesis systems with a dcGC filterbank is that they can inherit previously refined signal processing algorithms developed with conventional short-time Fourier transforms (STFTs) and linear filterbanks.