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authorJen Herting <jen@herting.cc>2022-04-14 15:09:03 -0400
committerGitHub <noreply@github.com>2022-04-14 14:09:03 -0500
commitce0346abd9d649591bffff0864c5f1ccf85d4b99 (patch)
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parent00313f9e20fa3817a5d20fabf1c20b0bdaf30ba1 (diff)
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New package: py-nara-wpe (#29451)
* espnet first build with depends * [py-nara-wpe] fixed copyright * [py-nara-wpe] fixing up dependencies Co-authored-by: Sid Pendelberry <sid@rit.edu>
Diffstat (limited to 'var')
-rw-r--r--var/spack/repos/builtin/packages/py-nara-wpe/package.py28
1 files changed, 28 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/py-nara-wpe/package.py b/var/spack/repos/builtin/packages/py-nara-wpe/package.py
new file mode 100644
index 0000000000..df322a0be2
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+++ b/var/spack/repos/builtin/packages/py-nara-wpe/package.py
@@ -0,0 +1,28 @@
+# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack import *
+
+
+class PyNaraWpe(PythonPackage):
+ """Background noise and signal reverberation due to reflections in an
+ enclosure are the two main impairments in acoustic signal processing and
+ far-field speech recognition. This work addresses signal dereverberation
+ techniques based on WPE for speech recognition and other far-field
+ applications. WPE is a compelling algorithm to blindly dereverberate
+ acoustic signals based on long-term linear prediction."""
+
+ homepage = "https://github.com/fgnt/nara_wpe"
+ pypi = "nara_wpe/nara_wpe-0.0.7.tar.gz"
+
+ version('0.0.7', sha256='7aa2edd5261e5d953e584e69a9233d60fc588fc8a4b7886c3ce43cc8ac8cd99b')
+
+ depends_on('py-setuptools', type='build')
+ depends_on('py-pathlib2', type=('build', 'run'), when='^python@2')
+ depends_on('py-numpy', type=('build', 'run'))
+ depends_on('py-tqdm', type=('build', 'run'))
+ depends_on('py-soundfile', type=('build', 'run'))
+ depends_on('py-bottleneck', type=('build', 'run'))
+ depends_on('py-click', type=('build', 'run'))