arXiv 2204.021012022-04-05cs.SDeess.AS

Non-Linear Speech coding with MLP, RBF and Elman based prediction

Escola Universitària Politècnica de Mataró（马塔罗理工大学学院）；Universitat Politècnica de Catalunya（加泰罗尼亚理工大学）

Marcos Faundez-Zanuy

备注：: 9 pages, published in Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg
发表信息：: International Work-Conference on Artificial Neural Networks IWANN 2003, LNCS 2687 Menorca (Spain)
DOI：: 10.1007/3-540-44869-1_85

英文摘要：

In this paper we propose a nonlinear scalar predictor based on a combination of Multi Layer Perceptron, Radial Basis Functions and Elman networks. This system is applied to speech coding in an ADPCM backward scheme. The combination of this predictors improves the results of one predictor alone. A comparative study of this three neural networks for speech prediction is also presented.

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