How to Install and Uninstall dtmf2num Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "dtmf2num" package

In this section, we are going to explain the necessary steps to install dtmf2num on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                dtmf2num
            
                    
    
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2. Uninstall "dtmf2num" package

In this section, we are going to explain the necessary steps to uninstall dtmf2num on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                dtmf2num
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the dtmf2num package on Ubuntu 20.10 (Groovy Gorilla)

Package: dtmf2num
Architecture: amd64
Version: 0.1.1-1
Priority: optional
Section: universe/utils
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Gürkan Myczko
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 45
Depends: libc6 (>= 2.14)
Filename: pool/universe/d/dtmf2num/dtmf2num_0.1.1-1_amd64.deb
Size: 14480
MD5sum: 93fa080e407744f1838db14366f4b099
SHA1: fe9a405440506cdb314c5a4dba4ddf5ebaf1f422
SHA256: 36fc7e27c191daf6017afdc599d123f84e4fb89968364f5e06f145d09d115046
SHA512: 3e82f03db5cdb71f8dc458e5568b3ca8b0c8909933c85c148d9b25ea344913d995365904d75e4290d68c60c909fdd29ae7229d0b07f824c13329398b32ed1baa
Homepage: http://aluigi.altervista.org/mytoolz.htm#dtmf2num
Description-en: tool for decoding the DTMF and MF tones from PCM wave files
This supports any type of wave file (frequencies, channels and
8, 16, 24 and 32 bits), automatic optimizations (DC bias adjust and
normalization) and both WAV and raw PCM data.
.
The program has been successfully tested with many audio files and
moreover with those highly dirt and damaged, for example recorded
with a microphone in a room or at a very low volumes or with some
noise.
Description-md5: 879efd9495139aa0d3f026c54610a5ac