Modular Audio Recognition Framework PoC-demo (Distributed)

Modular Audio Recognition Framework is an open-source 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 facilitating addition of new algorithms. MARF can run distributedly over the network and 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 reasonbly detailed manual and the API references in the javadoc format as the project tends to be well-documented.
Enhancements:
- This is the first release of the Distributed MARF proof-of-concept (PoC) implementation.
- MARFs pipeline stages can run on multiple computers using 3 different communication technologies: CORBA, RMI, and Web Services.
- The six implemented services include SpeakerIdent Front-end Service (plus the client), MARF Pipeline, Sample Loading, Preprocessing, Feature Extraction, Training and Classification.
- This is based on the snapshot-0.3.0-devel-20060811.