Modular Audio Recognition Framework
From Wikipedia, the free encyclopedia
Modular Audio Recognition Framework (MARF) is a research platform and a collection of voice/sound/speech/text and natural language processing (NLP) algorithms written in Java and arranged into a modular and extensible framework that attempts to facilitate addition of new algorithms. MARF may act as a library in applications or be used as a source for learning and extension. A few example applications are provided to show how to use the framework. There is also a detailed manual[1] and the API reference[2] in the javadoc format as the project tends to be well-documented. MARF and its applications are released under a BSD-style license.
[edit] References
- Modular Audio Recognition Framework. MARF, The Modular Audio Recognition Framework, and its Applications. Retrieved on 2007-08-10.
- S. M. Bernsee. The DFT à pied. The DFT à pied. Retrieved on 2008-06-07.
- O'Shaughnessy, Douglas (2000). Speech Communications. IEEE Press. New Jersey, U.S.. ISBN.
[edit] Footnotes
- ^ MARF, The Modular Audio Recognition Framework, and its Applications: Programmer's Manual (PDF). Retrieved on 2007-08-26.
- ^ MARF Developers' API (HTML). Retrieved on 2007-08-10.
