How to Install and Uninstall libgsm1-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 14,2024

1. Install "libgsm1-dev" package

In this section, we are going to explain the necessary steps to install libgsm1-dev on Ubuntu 21.04 (Hirsute Hippo)


    
        
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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

Please follow the instructions below to uninstall libgsm1-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
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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 21.04 (Hirsute Hippo)

Package: libgsm1-dev
Architecture: amd64
Version: 1.0.18-2
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: libgsm
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Felix Lechner
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 110
Depends: libgsm1 (= 1.0.18-2)
Replaces: libgsm-dev
Filename: pool/universe/libg/libgsm/libgsm1-dev_1.0.18-2_amd64.deb
Size: 23596
MD5sum: 67e2ab91313b69636b1bad8e99e5b473
SHA1: 23fdcd1c21f73640d90aa82037b6d42921657d63
SHA256: 737f01138a8fc6403c1b09d67485590bae2cf9be84cf67a53a9805103e4210de
SHA512: 3c2ac83efe76f4118b91ee5c5d9c9959c3257f832b5c6bce664bd93e58eeaf715c6700b85fa9e5fd371459b0b6ef2db7067180fb8fc4ec7fc6e0d7849e388352
Homepage: http://www.quut.com/gsm/
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.
.
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: 9ab8566a451332a6c6560c9d55adf4e7