How to Install and Uninstall festvox-rab-diphone.noarch Package on Red Hat Enterprise Linux 8 (RHEL 8)

Last updated: October 06,2024

1. Install "festvox-rab-diphone.noarch" package

This tutorial shows how to install festvox-rab-diphone.noarch on Red Hat Enterprise Linux 8 (RHEL 8)


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                festvox-rab-diphone.noarch
            
                    
    
    Copied

2. Uninstall "festvox-rab-diphone.noarch" package

This guide covers the steps necessary to uninstall festvox-rab-diphone.noarch on Red Hat Enterprise Linux 8 (RHEL 8):


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                festvox-rab-diphone.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the festvox-rab-diphone.noarch package on Red Hat Enterprise Linux 8 (RHEL 8)

Last metadata expiration check: 0:52:17 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : festvox-rab-diphone
Version : 0.19990610
Release : 14.el8
Architecture : noarch
Size : 4.9 M
Source : festival-2.5.0-14.el8.src.rpm
Repository : epel
Summary : American English male speaker "Kurt" for Festival
URL : http://www.cstr.ed.ac.uk/projects/festival/
License : MIT and GPL+ and TCL and BSD
Description : British English male speaker ("RAB") for Festival.
:
: This voice provides a British English male voice using a residual excited
: LPC diphone synthesis method. It uses the CMU Lexicon for pronunciations.
: Prosodic phrasing is provided by a statistically trained model using part of
: speech and local distribution of breaks. Intonation is provided by a CART
: tree predicting ToBI accents and an F0 contour generated from a model
: trained from natural speech. The duration model is also trained from data
: using a CART tree.