声音分离与重建的听觉层次模型

Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Pub Date : 1993-10-17 DOI:10.1109/ASPAA.1993.379973

D. Ellis

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引用次数: 13

摘要

在制造一台机器来检测和分离声音混合物中的单个成分时，最好的例子是模仿人类的听觉系统。听觉组织的几种模型实现了心理声学分组的各种规则。在Warren(1970)著名的“音位恢复错觉”中，我们提出了除了模型之外的听觉推断。类似于Nawab(1992)的抽象特征和来源假设的层次结构允许重建被删除的细节，然后可以用来重建“理想化”的声音而不会损坏。一个将谐波模型拟合到单簧管噪声录音的初步例子给出了一个非常令人信服的重新合成，完全消除了干扰。然而，在构建一个更通用的系统时，仍有许多问题需要解决，包括表示和控制体系结构的设计。

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Hierarchic models of hearing for sound separation and reconstruction

In building a machine to detect and segregate individual components in sound mixtures, the best example to copy is the human auditory system. Several models of auditory organization implement various rules of psychoacoustic grouping. We propose in addition to model auditory inference as exhibited in the well-known 'phonemic restoration illusion' of Warren (1970). A hierarchy of abstracted features and source hypotheses similar to that of Nawab (1992) allows reconstruction of obliterated detail which can then be used to recreate an 'idealized' sound without corruption. A preliminary example of fitting a harmonic model to a noisy recording of a clarinet gives a very convincing resynthesis with the interference totally removed. However, there are many issues including the design of the representation and the control architecture still to be addressed in building a more general system.<>

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Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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