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rnnoise rpm build for : RedHat EL 8. For other distributions click rnnoise.

Name : rnnoise
Version : 0 Vendor : Fedora Project
Release : 0.3.20210312git7f449bf.el8 Date : 2021-07-09 11:45:28
Group : Unspecified Source RPM : rnnoise-0-0.3.20210312git7f449bf.el8.src.rpm
Size : 0.12 MB
Packager : Fedora Project
Summary : Recurrent neural network for audio noise reduction
Description :
RNNoise is a noise suppression library based on a recurrent neural network.

While it is meant to be used as a library, a simple command-line tool is
provided as an example. It operates on RAW 16-bit (machine endian) mono PCM
files sampled at 48 kHz. It can be used as:

./examples/rnnoise_demo < noisy speech> < output denoised>

The output is also a 16-bit raw PCM file.

RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/epel/8.4.2021-11-30/Everything/x86_64/Packages/r

Content of RPM  Changelog  Provides Requires

Download
ftp.icm.edu.pl  rnnoise-0-0.3.20210312git7f449bf.el8.x86_64.rpm
ftp.icm.edu.pl  rnnoise-0-0.3.20210312git7f449bf.el8.x86_64.rpm
ftp.icm.edu.pl  rnnoise-0-0.3.20210312git7f449bf.el8.x86_64.rpm
ftp.icm.edu.pl  rnnoise-0-0.3.20210312git7f449bf.el8.x86_64.rpm
ftp.icm.edu.pl  rnnoise-0-0.3.20210312git7f449bf.el8.x86_64.rpm
ftp.icm.edu.pl  rnnoise-0-0.3.20210312git7f449bf.el8.x86_64.rpm
     

Provides :
librnnoise.so.0()(64bit)
rnnoise
rnnoise(x86-64)

Requires :
libc.so.6()(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
libc.so.6(GLIBC_2.4)(64bit)
libm.so.6()(64bit)
libm.so.6(GLIBC_2.2.5)(64bit)
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1
rtld(GNU_HASH)


Content of RPM :
/usr/lib/.build-id
/usr/lib/.build-id/0e
/usr/lib/.build-id/0e/894590f83cd344c1e3f1f58a65e9039da12fa2
/usr/lib64/librnnoise.so.0
/usr/lib64/librnnoise.so.0.4.1
/usr/share/doc/rnnoise
/usr/share/doc/rnnoise/AUTHORS
/usr/share/doc/rnnoise/README
/usr/share/doc/rnnoise/TRAINING-README
/usr/share/licenses/rnnoise
/usr/share/licenses/rnnoise/COPYING

 
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