Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Synthesis of breathy vowels: some research methods
Speech Communication - Special issue on speaker characterization in speech terminology
A noise reduction method for signals from nonlinear systems
Conference proceedings on Interpretation of time series from nonlinear mechanical systems
Neural Computation
A practical Bayesian framework for backpropagation networks
Neural Computation
Embedding as a modeling problem
Physica D
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Nonlinear Synthesis of Vowels in the LP Residual Domain with a Regularized RBF Network
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Application of Bayesian trained RBF networks to nonlinear time-series modeling
Signal Processing - From signal processing theory to implementation
A Theory of Networks for Approximation and Learning
A Theory of Networks for Approximation and Learning
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Nonlinear Speech Model Based on Support Vector Machine and Wavelet Transform
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Nonlinear prediction of speech
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Synthesis and coding of continuous speech with the nonlinear oscillator model
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
The evidence framework applied to classification networks
Neural Computation
HNS: speech modification based on a harmonic+noise model
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Some notes on nonlinearities of speech
Nonlinear Speech Modeling and Applications
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More than ten years ago the first successful application of a nonlinear oscillator model to high-quality speech signal processing was reported (Kubin and Kleijn, 1994). Since then, numerous developments have been initiated to turn nonlinear oscillators into a standard tool for speech technology. The present contribution will review and compare several of these attempts with a special emphasis on adaptive model identification from data and the approaches to the associated machine learning problems. This includes Bayesian methods for the regularization of the parameter estimation problem (including the pruning of irrelevant parameters) and Ansatz library (Lainscsek et al., 2001) based methods (structure selection of the model). We conclude with the observation that these advanced identification methods need to be combined with a thorough background from speech science to succeed in practical modeling tasks.