Choosing Best Algorithm Combinations for Speech Processing Tasks in Machine Learning Using MARF-Reference-Cited by-同舟云学术

Choosing Best Algorithm Combinations for Speech Processing Tasks in Machine Learning Using MARF

Published:2008 Issue: Volume: Page:216-221
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
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Author:

Mokhov Serguei A.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-68825-9_21

Reference14 articles.

1. Mokhov, S., Clement, I., Sinclair, S., Nicolacopoulos, D.: Modular Audio Recognition Framework. Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada (2002-2003), http://marf.sf.net

2. The MARF Research and Development Group. Modular Audio Recognition Framework and Applications. SourceForge.net (2002-2008), http://marf.sf.net

3. Mokhov, S.A.: Experimental Results and Statistics in the Implementation of the Modular Audio Recognition Framework’s API for Text-Independent Speaker Identification. In: Pending Acceptance at CCCT 2008 (2008), http://www.infocybereng.org/ccct2008i

4. Mokhov, S.A.: Introducing MARF: a Modular Audio Recognition Framework and its Applications for Scientific and Software Engineering Research. In: Proceedings of SCSS 2007/CISSE 2007, Springer, Heidelberg, Accepted for publication at CISSE 2007 (2007-2008), http://cisse2007.org

5. Mokhov, S.: On Design and Implementation of Distributed Modular Audio Recognition Framework: Requirements and Specification Design Document. Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada (2006), http://marf.sf.net

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