How to Install and Uninstall enscribe Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 10,2024

1. Install "enscribe" package

This guide let you learn how to install enscribe on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                enscribe
            
                    
    
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2. Uninstall "enscribe" package

Please follow the guidance below to uninstall enscribe on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                enscribe
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the enscribe package on Ubuntu 21.04 (Hirsute Hippo)

Package: enscribe
Architecture: amd64
Version: 0.1.0-3
Priority: optional
Section: universe/sound
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian QA Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 52
Depends: libc6 (>= 2.4), libgd3 (>= 2.1.0~alpha~), libsndfile1 (>= 1.0.20)
Filename: pool/universe/e/enscribe/enscribe_0.1.0-3_amd64.deb
Size: 19028
MD5sum: 0f301927acaee75c0b979e6a6b25b70b
SHA1: 550ee3df93021807e00c37ec76802cf1f65efdac
SHA256: 453a92d8cfcd19568ad89787e187528d88b53e764fdab35beb1999d8766a9dfc
SHA512: 97593b4a4e912207af077c748f8cbbcbda45b58e4006fb8495d6c771e5b996c0fc298c51b85ff05a338b311d5c4575f41bbc89eee7d3f85dfec55b5fb656709f
Description-en: convert images into sounds
Enscribe converts the scanlines of the input image into frequency
components and then using an inverse Fast Fourier Transform, converts
them into sound. The left side of the image is the low frequency end,
and the right is the high end, up to just under the Nyquist limit if
you want it to. There are several tunable parameters as to how colour
is converted into stereo sound and the frequency range to be used.
This conversion can be used to create resilient audio watermarks or to
simply create interesting sounds from images.
Description-md5: 8e61f7223a2ea3fceffe624c791dc967