Audio signal processing by neural networks

被引：27

作者：

Uncini, A ^{[1
]}

机构：

[1] Univ Roma La Sapienza, Dipartimento INFOCOM, I-00184 Rome, Italy

来源：

NEUROCOMPUTING | 2003年 / 55卷 / 3-4期

关键词：

nonlinear audio signal processing; neural networks for signal processing; subband adaptive nonlinear filters; spline neural networks; speech enhancement; signal recovery; signal predistortion; physical model sound synthesis;

D O I：

10.1016/S0925-2312(03)00395-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a review of architectures suitable for nonlinear real-time audio signal processing is presented. The computational and structural complexity of neural networks (NNs) represent in fact, the main drawbacks that can hinder many practical NNs multimedia applications. In particular efficient neural architectures and their learning algorithm for real-time on-line audio processing are discussed. Moreover, applications in the fields of (1) audio signal recovery, (2) speech quality enhancement, (3) nonlinear transducer linearization, (4) learning based pseudo-physical sound synthesis, are briefly presented and discussed. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：593 / 625

页数：33

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