python-SpeechRecognition-common-en-US-3.8.1-bp153.1.14 RPM for noarch

From OpenSuSE Leap 15.3 for noarch

SpeechRecognition Library for performing speech recognition, with support for
several engines and APIs, online and offline.

The Speech recognition engine/API supports CMU Sphinx (works offline), Google
Speech Recognition, Google Cloud Speech API, Wit.ai, Microsoft Bing Voice
Recognition, Houndify API and IBM Speech to Text.

This package contains the data for en-US language model to be used by
pocketsphinx from python-SpeechRecognition.

Provides

• python-SpeechRecognition-common-en-US

Requires

• rpmlib(CompressedFileNames) <= 3.0.4-1
• rpmlib(FileDigests) <= 4.6.0-1
• rpmlib(PayloadFilesHavePrefix) <= 4.0-1
• rpmlib(PayloadIsXz) <= 5.2-1

License

BSD-3-Clause

Changelog

* Thu Nov 07 2019 Matej Cepl <mcepl@suse.com>
  - Run through spec-cleaner
* Tue Dec 04 2018 Matej Cepl <mcepl@suse.com>
  - Remove superfluous devel dependency for noarch package
* Thu May 03 2018 alarrosa@suse.com
  - Run spec_cleaner
* Thu May 03 2018 alarrosa@suse.com
  - Add fix-readme.patch to keep clear that the flac binaries and third-party
    source files are removed and are not used by the python-SpeechRecognition
    package.
* Fri Jan 05 2018 alarrosa@suse.com
  - Update to version 3.8.1
    * Snowboy hotwords support for highly efficient, performant listening.
      This is implemented as the snowboy_configuration parameter of
      recognizer_instance.listen.
    * Configurable Pocketsphinx models - you can now specify your own acoustic
      parameters, language model, and phoneme dictionary, using the language
      parameter of recognizer_instance.recognize_sphinx.
    * audio_data_instance.get_segment(start_ms=None, end_ms=None) is a new method
      that can be called on any AudioData instance to get a segment of the audio
      starting at start_ms and ending at end_ms. This is really useful when you
      want to get, say, only the first five seconds of some audio.
    * The stopper function returned by listen_in_background now accepts one
      parameter, wait_for_stop (defaulting to True for backwards compatibility),
      which determines whether the function will wait for the background thread
      to fully shutdown before returning. One advantage is that if wait_for_stop
      is False, you can call the stopper function from any thread!
    * New example, demonstrating how to simultaneously listen to and recognize
      speech with the threaded producer/consumer pattern: threaded_workers.py.
    * Various improvements and bugfixes:
    * Python 3 style type annotations in library documentation.
    * recognize_google_cloud now uses the v1 rather than the beta API.
    * recognize_google_cloud now returns timestamp info when the show_all
      parameter is True.
    * recognize_bing won't time out as often on credential requests, due to a
      longer default timeout.
    * recognize_google_cloud timeouts respect
      recognizer_instance.operation_timeout now.
    * Any recognizers using FLAC audio were broken inside Linux on Docker -
      this is now fixed.
    * Various documentation and lint fixes.
    * Lots of small build system improvements.
* Wed Nov 15 2017 alarrosa@suse.com
  - Added python-SpeechRecognition-common-en-US package to install the
    pocketsphinx-data directory in a common place for python2 and python3
    packages.
* Mon Sep 04 2017 alarrosa@suse.com
  - Initial release of python-SpeechRecognition 3.7.1

Files

/usr/share/speech_recognition/pocketsphinx-data/en-US
/usr/share/speech_recognition/pocketsphinx-data/en-US/LICENSE.txt
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/README
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/feat.params
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/mdef
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/means
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/noisedict
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/sendump
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/transition_matrices
/usr/share/speech_recognition/pocketsphinx-data/en-US/acoustic-model/variances
/usr/share/speech_recognition/pocketsphinx-data/en-US/language-model.lm.bin
/usr/share/speech_recognition/pocketsphinx-data/en-US/pronounciation-dictionary.dict

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Fabrice Bellet, Tue Apr 9 14:50:04 2024