forked from pool/python-SpeechRecognition
Accepting request 603624 from devel:languages:python:misc
Move back the package to d:l:p to try to submit it to Factory again OBS-URL: https://build.opensuse.org/request/show/603624 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-SpeechRecognition?expand=0&rev=1
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.gitattributes
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## Default LFS
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*.7z filter=lfs diff=lfs merge=lfs -text
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.osc
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3.8.1.tar.gz
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3.8.1.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:82d3313db383409ddaf3e42625fb0c3518231a1feb5e2ed5473b10b3d5ece7bd
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size 125426650
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fix-readme.patch
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Index: speech_recognition-3.8.1/README.rst
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===================================================================
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--- speech_recognition-3.8.1.orig/README.rst
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+++ speech_recognition-3.8.1/README.rst
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@@ -270,9 +270,7 @@ To hack on this library, first make sure
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- Most of the library code lives in ``speech_recognition/__init__.py``.
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- Examples live under the ``examples/`` `directory <https://github.com/Uberi/speech_recognition/tree/master/examples>`__, and the demo script lives in ``speech_recognition/__main__.py``.
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-- The FLAC encoder binaries are in the ``speech_recognition/`` `directory <https://github.com/Uberi/speech_recognition/tree/master/speech_recognition>`__.
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- Documentation can be found in the ``reference/`` `directory <https://github.com/Uberi/speech_recognition/tree/master/reference>`__.
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-- Third-party libraries, utilities, and reference material are in the ``third-party/`` `directory <https://github.com/Uberi/speech_recognition/tree/master/third-party>`__.
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To install/reinstall the library locally, run ``python setup.py install`` in the project `root directory <https://github.com/Uberi/speech_recognition>`__.
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@@ -301,41 +299,6 @@ Testing is also done automatically by Tr
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python -m flake8 --ignore=E501,E701 speech_recognition tests examples setup.py # ignore errors for long lines and multi-statement lines
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python -m rstcheck README.rst reference/*.rst # ensure RST is well-formed
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-FLAC Executables
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-~~~~~~~~~~~~~~~~
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-
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-The included ``flac-win32`` executable is the `official FLAC 1.3.2 32-bit Windows binary <http://downloads.xiph.org/releases/flac/flac-1.3.2-win.zip>`__.
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-
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-The included ``flac-linux-x86`` and ``flac-linux-x86_64`` executables are built from the `FLAC 1.3.2 source code <http://downloads.xiph.org/releases/flac/flac-1.3.2.tar.xz>`__ with `Manylinux <https://github.com/pypa/manylinux>`__ to ensure that it's compatible with a wide variety of distributions.
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-
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-The built FLAC executables should be bit-for-bit reproducible. To rebuild them, run the following inside the project directory on a Debian-like system:
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-
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-.. code:: bash
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-
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- # download and extract the FLAC source code
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- cd third-party
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- sudo apt-get install --yes docker.io
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-
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- # build FLAC inside the Manylinux i686 Docker image
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- tar xf flac-1.3.2.tar.xz
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- sudo docker run --tty --interactive --rm --volume "$(pwd):/root" quay.io/pypa/manylinux1_i686:latest bash
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- cd /root/flac-1.3.2
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- ./configure LDFLAGS=-static # compiler flags to make a static build
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- make
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- exit
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- cp flac-1.3.2/src/flac/flac ../speech_recognition/flac-linux-x86 && sudo rm -rf flac-1.3.2/
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-
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- # build FLAC inside the Manylinux x86_64 Docker image
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- tar xf flac-1.3.2.tar.xz
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- sudo docker run --tty --interactive --rm --volume "$(pwd):/root" quay.io/pypa/manylinux1_x86_64:latest bash
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- cd /root/flac-1.3.2
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- ./configure LDFLAGS=-static # compiler flags to make a static build
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- make
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- exit
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- cp flac-1.3.2/src/flac/flac ../speech_recognition/flac-linux-x86_64 && sudo rm -r flac-1.3.2/
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-
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-The included ``flac-mac`` executable is extracted from `xACT 2.39 <http://xact.scottcbrown.org/>`__, which is a frontend for FLAC 1.3.2 that conveniently includes binaries for all of its encoders. Specifically, it is a copy of ``xACT 2.39/xACT.app/Contents/Resources/flac`` in ``xACT2.39.zip``.
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-
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Authors
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-------
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@@ -374,9 +337,3 @@ Copyright 2014-2017 `Anthony Zhang (Uber
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SpeechRecognition is made available under the 3-clause BSD license. See ``LICENSE.txt`` in the project's `root directory <https://github.com/Uberi/speech_recognition>`__ for more information.
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For convenience, all the official distributions of SpeechRecognition already include a copy of the necessary copyright notices and licenses. In your project, you can simply **say that licensing information for SpeechRecognition can be found within the SpeechRecognition README, and make sure SpeechRecognition is visible to users if they wish to see it**.
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-
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-SpeechRecognition distributes source code, binaries, and language files from `CMU Sphinx <http://cmusphinx.sourceforge.net/>`__. These files are BSD-licensed and redistributable as long as copyright notices are correctly retained. See ``speech_recognition/pocketsphinx-data/*/LICENSE*.txt`` and ``third-party/LICENSE-Sphinx.txt`` for license details for individual parts.
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-
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-SpeechRecognition distributes source code and binaries from `PyAudio <http://people.csail.mit.edu/hubert/pyaudio/>`__. These files are MIT-licensed and redistributable as long as copyright notices are correctly retained. See ``third-party/LICENSE-PyAudio.txt`` for license details.
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-
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-SpeechRecognition distributes binaries from `FLAC <https://xiph.org/flac/>`__ - ``speech_recognition/flac-win32.exe``, ``speech_recognition/flac-linux-x86``, and ``speech_recognition/flac-mac``. These files are GPLv2-licensed and redistributable, as long as the terms of the GPL are satisfied. The FLAC binaries are an `aggregate <https://www.gnu.org/licenses/gpl-faq.html#MereAggregation>`__ of `separate programs <https://www.gnu.org/licenses/gpl-faq.html#NFUseGPLPlugins>`__, so these GPL restrictions do not apply to the library or your programs that use the library, only to FLAC itself. See ``LICENSE-FLAC.txt`` for license details.
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53
python-SpeechRecognition.changes
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python-SpeechRecognition.changes
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-------------------------------------------------------------------
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Thu May 3 09:48:57 UTC 2018 - alarrosa@suse.com
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- Add fix-readme.patch to keep clear that the flac binaries and third-party
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source files are removed and are not used by the python-SpeechRecognition
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package.
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-------------------------------------------------------------------
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Fri Jan 5 09:38:06 UTC 2018 - alarrosa@suse.com
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- Update to version 3.8.1
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* Snowboy hotwords support for highly efficient, performant listening.
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This is implemented as the snowboy_configuration parameter of
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recognizer_instance.listen.
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* Configurable Pocketsphinx models - you can now specify your own acoustic
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parameters, language model, and phoneme dictionary, using the language
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parameter of recognizer_instance.recognize_sphinx.
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* audio_data_instance.get_segment(start_ms=None, end_ms=None) is a new method
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that can be called on any AudioData instance to get a segment of the audio
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starting at start_ms and ending at end_ms. This is really useful when you
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want to get, say, only the first five seconds of some audio.
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* The stopper function returned by listen_in_background now accepts one
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parameter, wait_for_stop (defaulting to True for backwards compatibility),
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which determines whether the function will wait for the background thread
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to fully shutdown before returning. One advantage is that if wait_for_stop
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is False, you can call the stopper function from any thread!
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* New example, demonstrating how to simultaneously listen to and recognize
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speech with the threaded producer/consumer pattern: threaded_workers.py.
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* Various improvements and bugfixes:
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* Python 3 style type annotations in library documentation.
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* recognize_google_cloud now uses the v1 rather than the beta API.
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* recognize_google_cloud now returns timestamp info when the show_all
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parameter is True.
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* recognize_bing won't time out as often on credential requests, due to a
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longer default timeout.
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* recognize_google_cloud timeouts respect
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recognizer_instance.operation_timeout now.
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* Any recognizers using FLAC audio were broken inside Linux on Docker -
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this is now fixed.
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* Various documentation and lint fixes.
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* Lots of small build system improvements.
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-------------------------------------------------------------------
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Wed Nov 15 16:20:51 UTC 2017 - alarrosa@suse.com
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- Added python-SpeechRecognition-common-en-US package to install the
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pocketsphinx-data directory in a common place for python2 and python3
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packages.
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-------------------------------------------------------------------
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Mon Sep 4 17:54:27 UTC 2017 - alarrosa@suse.com
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- Initial release of python-SpeechRecognition 3.7.1
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97
python-SpeechRecognition.spec
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python-SpeechRecognition.spec
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#
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# spec file for package python-SpeechRecognition
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#
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# Copyright (c) 2017 SUSE LINUX GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define justpython python
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Name: python-SpeechRecognition
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Version: 3.8.1
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Release: 0
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# Note: The sources include third party code with different licenses.
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# We remove all those before building so it's not installed in the
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# generated packages.
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License: BSD-3-Clause
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Summary: Library for performing speech recognition, with support for several engines
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Url: https://github.com/Uberi/speech_recognition#readme
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Group: Development/Languages/Python
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Source: https://github.com/Uberi/speech_recognition/archive/%{version}.tar.gz
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Patch0: fix-readme.patch
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BuildRequires: python-rpm-macros
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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Requires: flac
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Requires: python-PyAudio
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Requires: python-oauth2client
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Requires: %{justpython}-SpeechRecognition-common-en-US
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Recommends: python-google-api-python-client
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Recommends: python-pocketsphinx-python
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BuildArch: noarch
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%python_subpackages
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%description
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SpeechRecognition Library for performing speech recognition, with support for several engines and APIs, online and offline.
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The Speech recognition engine/API supports CMU Sphinx (works offline), Google Speech Recognition,
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Google Cloud Speech API, Wit.ai, Microsoft Bing Voice Recognition, Houndify API and
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IBM Speech to Text
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%package -n python-SpeechRecognition-common-en-US
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Summary: Common files for en-US language model support in python-speech_recognition
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%description -n python-SpeechRecognition-common-en-US
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SpeechRecognition Library for performing speech recognition, with support for
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several engines and APIs, online and offline.
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The Speech recognition engine/API supports CMU Sphinx (works offline), Google
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Speech Recognition, Google Cloud Speech API, Wit.ai, Microsoft Bing Voice
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Recognition, Houndify API and IBM Speech to Text.
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This package contains the data for en-US language model to be used by
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pocketsphinx from python-SpeechRecognition.
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%prep
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%setup -q -n speech_recognition-%{version}
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%patch0 -p1
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rm -Rf third-party
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rm speech_recognition/flac-*
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rm LICENSE-FLAC.txt
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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mkdir -p %{buildroot}%{_datadir}/speech_recognition
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cp -Ra speech_recognition/pocketsphinx-data %{buildroot}%{_datadir}/speech_recognition/
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%python_expand rm -Rf %{buildroot}%{$python_sitelib}/speech_recognition/pocketsphinx-data
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%python_expand ln -s %{_datadir}/speech_recognition/pocketsphinx-data %{buildroot}%{$python_sitelib}/speech_recognition/
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%files %{python_files}
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%defattr(-,root,root,-)
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%license LICENSE.txt
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%{python_sitelib}/*
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%dir %{_datadir}/speech_recognition/
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%dir %{_datadir}/speech_recognition/pocketsphinx-data
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%files -n python-SpeechRecognition-common-en-US
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%defattr(-,root,root,-)
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%{_datadir}/speech_recognition/pocketsphinx-data/en-US
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%changelog
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