How to Install and Uninstall libgsm-tools Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 07,2024

1. Install "libgsm-tools" package

This is a short guide on how to install libgsm-tools on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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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

This guide covers the steps necessary to uninstall libgsm-tools on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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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 16.04 LTS (Xenial Xerus)

Package: libgsm-tools
Priority: optional
Section: universe/sound
Installed-Size: 161
Maintainer: Ubuntu Developers
Original-Maintainer: Jochen Friedrich
Architecture: amd64
Source: libgsm
Version: 1.0.13-4
Replaces: libgsm-bin
Depends: libc6 (>= 2.14), libgsm1 (>= 1.0.13)
Filename: pool/universe/libg/libgsm/libgsm-tools_1.0.13-4_amd64.deb
Size: 39104
MD5sum: e24a61abbd4599bb133eaf0449c6887b
SHA1: fcbf57bf8df9d151660cb4ca19941be76bd67f3f
SHA256: 999a86c2d28641a8b682ff28a0d5e3fde592f4acdb049647cfdc5847418d4f0e
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, our 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).
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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: b15d51d69deff61b6049796ca5d1264c
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu