How to Install and Uninstall libgsm1-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 14,2024

1. Install "libgsm1-dev" package

Learn how to install libgsm1-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libgsm1-dev
            
                    
    
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2. Uninstall "libgsm1-dev" package

Here is a brief guide to show you how to uninstall libgsm1-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libgsm1-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgsm1-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libgsm1-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 143
Maintainer: Ubuntu Developers
Original-Maintainer: Jochen Friedrich
Architecture: amd64
Source: libgsm
Version: 1.0.13-4
Replaces: libgsm-dev
Depends: libgsm1 (= 1.0.13-4)
Conflicts: libgsm-dev, libgsm1 (<= 1.0.10-2)
Filename: pool/universe/libg/libgsm/libgsm1-dev_1.0.13-4_amd64.deb
Size: 35564
MD5sum: 887a7b9acbd40a6bbdf619cbdf606198
SHA1: 2896fdccfb9223369f425a5bf1a41eaf5380e048
SHA256: 1d8765ffff85785cf813d625fc9b7d8f8fb37d3a0d1317b22999467697dc6c9d
Description-en: Development libraries for a GSM speech compressor
This package contains header files and development libraries 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).
.
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: ab1a541c87da5c79fde9395194330ec7
Multi-Arch: same
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 9m