Vector quantization and signal compression
Vector quantization and signal compression
Neural Computation
Artificial Neural Networks: A Tutorial
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Global Optimization for Neural Network Training
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Applied coding and information theory for engineers
Applied coding and information theory for engineers
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Nonlinear Vectorial Prediction with Neural Nets
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Nonlinear prediction of speech
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
A nonlinear model for time series prediction and signal interpolation
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Nonparametric prediction of non-Gaussian time series
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
IEEE Transactions on Signal Processing
Nonlinear predictive models: overview and possibilities in speaker recognition
Progress in nonlinear speech processing
Some notes on nonlinearities of speech
Nonlinear Speech Modeling and Applications
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In this paper we give a brief overview of nonlinear predictive models, with special emphasis on neural nets. Several well known strategies are discussed, such as multi-start random weights initialization, regularization, early stop with validation, committee of neural nets, different architectures, etc. Although the paper is devoted to ADPCM speech coding (scalar and vectorial schemes), this study offers a good chance to deal with nonlinear predictors, as a first step towards a more sophisticated applications. Thus, our main purpose is to state new possibilities for speech coding.