MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.

Project Samples

Server Status GUI Prototype SpeakerIdent Prototype GUI Full SpeakerIdentApp run on Windows by clicking 'retrain'

Project Activity

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Categories

Frameworks, Distributed Computing, Artificial Intelligence, HMI, Speech, Audio Analysis, Natural Language Processing (NLP)

License

BSD License

Follow Modular Audio Recognition Framework

Modular Audio Recognition Framework Web Site

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User Reviews

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  • seouldf Posted 2015-12-10
    Is the music identification functionality based on ACRCloud's ( acrcloud.com ) 47 million music database?
  • sunnala Posted 2015-01-05
    very excellent!
    1 user found this review helpful.
  • rob1979 Posted 2012-06-26
    Great project! I recommend this program strongly!
    1 user found this review helpful.
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Additional Project Details

Operating Systems

BSD, Linux, Windows

Languages

English

Intended Audience

Advanced End Users, Developers, Education, End Users/Desktop, Information Technology, Science/Research

User Interface

Command-line, Java AWT, Java Swing, Non-interactive (Daemon)

Programming Language

IDL, Java, Perl, Unix Shell

Database Environment

Flat-file, Other API, Proprietary file format, SQL-based, XML-based

Related Categories

Unix Shell Frameworks, Unix Shell Distributed Computing Software, Unix Shell Artificial Intelligence Software, Unix Shell HMI Software, Unix Shell Speech Software, Perl Frameworks, Perl Distributed Computing Software, Perl Artificial Intelligence Software, Perl HMI Software, Perl Speech Software, IDL Frameworks, IDL Distributed Computing Software, IDL Artificial Intelligence Software, IDL HMI Software, IDL Speech Software, Java Frameworks, Java Distributed Computing Software, Java Artificial Intelligence Software, Java HMI Software, Java Speech Software

Registered

2002-09-22
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