e Non-Linear Speech Processing (NOLISP) workshop is a biennial international workshop aiming at presenting and discussing new ideas, techniques and results related to alternative approaches in speech processing. New and innovative approaches and their applications are welcome to participate in this workshop. All fields of speech processing are targeted by the workshop, namely: Speech Production Speech Analysis and Modeling Speech Coding Speech Synthesis Speech Recognition Speaker Identification / Verification Speech Enhancement / Separation Speech Perception Others Contributions are expected in (though not restricted to) the following domains: Non-Linear Approximation Non-Linear Oscillators and Predictors Higher-Order Statistics Independent Component Analysis Nearest Neighbours Neural Networks Decision Trees Non-Parametric Models Dynamics of Non-Linear Systems Fractal Methods Chaos Modeling Non-Linear Differential Equations

International Conference on NONLINEAR SPEECH PROCESSING, NOLISP 2015 / G., Cordasco; V. CAPUANO M., Ceccarelli; T. DRUGMAN A., Esposito; M., FAÚNDEZ ZANUY; F. C., Morabito; D., Palumbo; E., Pasero; F., Piazza; Scarpiniti, Michele; J., SOLÉ CASALS; S., Squartini; A., Troncone; Uncini, Aurelio. - (2015). (Intervento presentato al convegno NOLISP 2015 tenutosi a Vietri Sul Mare (SA) nel May 18-20, 2015).

International Conference on NONLINEAR SPEECH PROCESSING, NOLISP 2015

SCARPINITI, MICHELE;UNCINI, Aurelio
2015

Abstract

e Non-Linear Speech Processing (NOLISP) workshop is a biennial international workshop aiming at presenting and discussing new ideas, techniques and results related to alternative approaches in speech processing. New and innovative approaches and their applications are welcome to participate in this workshop. All fields of speech processing are targeted by the workshop, namely: Speech Production Speech Analysis and Modeling Speech Coding Speech Synthesis Speech Recognition Speaker Identification / Verification Speech Enhancement / Separation Speech Perception Others Contributions are expected in (though not restricted to) the following domains: Non-Linear Approximation Non-Linear Oscillators and Predictors Higher-Order Statistics Independent Component Analysis Nearest Neighbours Neural Networks Decision Trees Non-Parametric Models Dynamics of Non-Linear Systems Fractal Methods Chaos Modeling Non-Linear Differential Equations
2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/736861
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