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− | {{Event
| + | I can't believe you're not playing with me--that was so hlpeful. |
− | | Acronym = NOLISP 2009
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− | | Title = Workshop on Non-Linear Speech Processing
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− | | Type = Workshop
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− | | Series =
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− | | Field = Speech recognition
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− | | Homepage = www.uvic.cat/eps/especial/en/nolisp2009.html
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− | | Start date = Jun 25, 2009
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− | | End date = Jun 27, 2009
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− | | City= Vic (Barcelona)
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− | | State =
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− | | Country = Spain
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− | | Abstract deadline =
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− | | Submission deadline = Mar 15, 2009
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− | | Notification = Apr 30, 2009
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− | | Camera ready =
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− | }}
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− | | |
− | <pre>
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− | NOLISP'09
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− | AN ISCA TUTORIAL AND RESEARCH WORKSHOP ON NON-LINEAR SPEECH PROCESSING
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− | Aims of the workshop
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− | Many conventional models currently used in the field of speech processing do not handle signals at full extent. The purpose of the workshop is to present and discuss new ideas, techniques and results related to alternative approaches in speech processing that may depart from the main stream.
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− | Focus of the workshop
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− | | |
− | Contributions are expected in (though not restricted to) the following domains:
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− | I. Non-Linear Approximation and Estimation
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− | II. Non-Linear Oscillators and Predictors
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− | III. Higher-Order Statistics
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− | IV. Independent Component Analysis
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− | V. Nearest Neighbours
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− | VI. Neural Networks
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− | VII. Decision Trees
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− | VIII. Non-Parametric Models
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− | IX. Dynamics of Non-Linear Systems
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− | X. Fractal Methods
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− | XI. Chaos Modeling
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− | XII. Non-Linear Differential Equations
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− | | |
− | All fields of speech processing are targeted by the workshop, namely:
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− | 1. Speech Production
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− | 2. Speech Analysis and Modeling
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− | 3. Speech Coding
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− | 4. Speech Synthesis
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− | 5. Speech Recognition
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− | 6. Speaker Identification / Verification
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− | 7. Speech Enhancement / Separation
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− | 8. Speech Perception
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− | 9. Others
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− | | |
− | Key dates
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− | | |
− | Submission (full paper): March 15, 2009
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− | Notification of acceptance: April 30, 2009
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− | Workshop: June 25-27, 2009
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− | Final (revised) paper: September 30, 2009
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− | </pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=3313&copyownerid=2 WikiCFP][[Category:Artificial neural network]]
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