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.
Audio signal processing by neural networks / Uncini, Aurelio. - In: NEUROCOMPUTING. - ISSN 0925-2312. - 55:3-4(2003), pp. 593-625. (Intervento presentato al convegno 7th International Conference on Engineering Application of Neural Networks tenutosi a CAGLIARI, ITALY nel JUL, 2001) [10.1016/s0925-2312(03)00395-3].
Audio signal processing by neural networks
UNCINI, Aurelio
2003
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
