Audio signal processing by neural networks

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 efficien...

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Veröffentlicht in:Neurocomputing (Amsterdam) Jg. 55; H. 3; S. 593 - 625
1. Verfasser: Uncini, Aurelio
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.10.2003
Schlagworte:
Neural networks for signal processing
Nonlinear audio signal processing
Physical model sound synthesis
Signal predistortion
Signal recovery
Speech enhancement
Spline neural networks
Subband adaptive nonlinear filters
Subband adaptive nonlinear filters
Physical model sound synthesis
Spline neural networks
Speech enhancement
Neural networks for signal processing
Nonlinear audio signal processing
Signal recovery
Signal predistortion
ISSN:0925-2312, 1872-8286
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0925-2312
1872-8286
DOI:10.1016/S0925-2312(03)00395-3