New trends in speech processing with artificial neural networks

Article type: Research Article

Authors: Navakauskas, Dalius

Affiliations: Department of Radioelectronics, Electronics Faculty, Vilnius Technical University, Aušros Vartų 7a, 2600 Vilnius, Lithuania. E-mail: dn@tuef.vno.osf.lt

Abstract: An analytical review of recent publications in the area of digital speech signal processing is presented. The aim of the given paper is the analysis of these publications, where Artificial Neural Networks (ANNs) were successfully employed. Numerous methods of ANNs employment are discussed due to identify when and why they are reliable alternative to the conventional adaptive signal processing techniques.

Keywords: digital speech signal processing, artificial neural networks, multi-layer perceptrons, self-organizing feature map, vector quantization

DOI: 10.3233/INF-1996-7407

Journal: Informatica, vol. 7, no. 4, pp. 495-516, 1996