How to Install and Uninstall libgsm-tools Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 05,2024

1. Install "libgsm-tools" package

Please follow the steps below to install libgsm-tools on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libgsm-tools
            
                    
    
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2. Uninstall "libgsm-tools" package

In this section, we are going to explain the necessary steps to uninstall libgsm-tools on Ubuntu 21.04 (Hirsute Hippo):


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

Package: libgsm-tools
Architecture: amd64
Version: 1.0.18-2
Priority: optional
Section: universe/sound
Source: libgsm
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Felix Lechner
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 151
Depends: libc6 (>= 2.4), libgsm1 (>= 1.0.18)
Replaces: libgsm-bin
Filename: pool/universe/libg/libgsm/libgsm-tools_1.0.18-2_amd64.deb
Size: 14360
MD5sum: 03a7e79768b88f5304986f4ba0789033
SHA1: f936306f8a13902a3993f5dff5b0306caf6075cf
SHA256: 9c6e993c90f382d8584126eca6135f03ab296310df7f37d98d9b21c0d093ade3
SHA512: 6d31f46d1f4ef9767766889eed5e4e0bbaa4b5988488250364e1002370759cba6778eb869f275e2dcadd55583a55da7ec8627a20c0bc0430096388ab0df733dd
Homepage: http://www.quut.com/gsm/
Description-en: User binaries for a GSM speech compressor
This package contains user binaries for libgsm, an implementation of
the European GSM 06.10 provisional standard for full-rate speech
transcoding, prI-ETS 300 036, which uses RPE/LTP (residual pulse
excitation/long term prediction) coding at 13 kbit/s.
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GSM 06.10 compresses frames of 160 13-bit samples (8 kHz sampling
rate, i.e. a frame rate of 50 Hz) into 260 bits; for compatibility
with typical UNIX applications, this implementation turns frames of
160 16-bit linear samples into 33-byte frames (1650 Bytes/s).
The quality of the algorithm is good enough for reliable speaker
recognition; even music often survives transcoding in recognizable
form (given the bandwidth limitations of 8 kHz sampling rate).
.
The interfaces offered are a front end modelled after compress(1), and
a library API. Compression and decompression run faster than realtime
on most SPARCstations. The implementation has been verified against the
ETSI standard test patterns.
Description-md5: 8f872e7c4ddf91c37b2c3db2fed2c6c8