How to Install and Uninstall julius.x86_64 Package on Fedora 34

Last updated: October 05,2024

1. Install "julius.x86_64" package

Here is a brief guide to show you how to install julius.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                julius.x86_64
            
                    
    
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2. Uninstall "julius.x86_64" package

Learn how to uninstall julius.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                julius.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the julius.x86_64 package on Fedora 34

Last metadata expiration check: 1:11:41 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : julius
Version : 4.5
Release : 5.fc34
Architecture : x86_64
Size : 434 k
Source : julius-4.5-5.fc34.src.rpm
Repository : fedora
Summary : Large vocabulary continuous speech recognition (LVCSR) decoder software
URL : https://github.com/julius-speech/julius
License : Julius
Description : "Julius" is a high-performance, two-pass large vocabulary continuous speech
: recognition (LVCSR) decoder software for speech-related researchers and
: developers. Based on word N-gram and context-dependent HMM, it can perform
: almost real-time decoding on most current PCs in 60k word dictation task.
: Major search techniques are fully incorporated such as tree lexicon, N-gram
: factoring, cross-word context dependency handling, enveloped beam search,
: Gaussian pruning, Gaussian selection, etc. Besides search efficiency, it is
: also modularized carefully to be independent from model structures, and
: various HMM types are supported such as shared-state triphones and
: tied-mixture models, with any number of mixtures, states, or phones.
: Standard formats are adopted to cope with other free modeling toolkit such
: as HTK, CMU-Cam SLM toolkit, etc.