Showing 6 open source projects for "software version control"

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  • 1
    H.B.S.N

    H.B.S.N

    Speech Recognition System

    H.B.S.N is a simple speech recognition software which programmed using Java. This software is a package of many sub applications.And those are as listed below , Audio Player Video Player Email Client Weather Application Mp3 Tag Editor Picture Viewer Home Automation Application Alarm / Timer Folder Locker Message Encrypt Application Income & Expenses Logging Application Apart from that we can do many thing from this software by using voice commands , such as , Open & close applications which are installed in the computer Open web sites Open folders which are in the HDD Control built-in audio & video player Control the home automation system Reading mails Reading selected text Speaking clock ( Time & Date) Speaking weather report There are system commands for the tasks which this application does.And we can replace the system default commands with custom commands.
    Downloads: 1 This Week
    Last Update:
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  • 2
    This software records and replays user interaction with the computer. It can be interfaced through voice commands.
    Downloads: 0 This Week
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  • 3
    The adam server is a voice activated framework in which to control your desktop and perform general systems administration. It utilizes the Sphinx-4 speech recognition engine and the FreeTTS speech synthesis engine.
    Downloads: 4 This Week
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  • 4
    VoxForge collects user-submitted speech audio files for the creation of Acoustic Models for Free and Open Source Speech Recognition Engines such as HTK, Julius, ISIP and Sphinx.
    Downloads: 0 This Week
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  • 5
    The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a Java API that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.
    Downloads: 0 This Week
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  • 6
    Provides a voice interface for applications via a plug in system. Allows the inclusion of voice recognition in an application with a minimum of effort.
    Downloads: 0 This Week
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