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        "author": "Microsoft Corporation",
        "author_email": "python@microsoft.com",
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            "Development Status :: 3 - Alpha",
            "Environment :: Win32 (MS Windows)",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Multimedia :: Sound/Audio :: Capture/Recording",
            "Topic :: Multimedia :: Sound/Audio :: Players",
            "Topic :: Multimedia :: Sound/Audio :: Speech",
            "Topic :: Text Processing :: Linguistic"
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        "description": "projectoxford\n=============\n\nPython client library for `Project Oxford <https://projectoxford.ai/>`__ APIs.\n\nMicrosoft Project Oxford is a collection of artificial intelligence tools made available as online services. This library provides easy use of the Project Oxford APIs from Python.\n\nCurrently only the speech recognition, synthesis and `LUIS <https://luis.ai/>`__ APIs are implemented.\n\nIf you were using the previous version of this library, which only provided the vision APIs, install ``projectoxford<=0.2`` to continue to use that version.\n\nInstallation\n------------\n\nTo install, use pip:\n\n.. code:: shell\n\n    pip install projectoxford\n\nThis library is in an early stage of development. We strongly recommend pinning all references to the specific version you are using.\n\nGetting Started\n---------------\n\nTo use text to speech or speech recognition, you'll need to `obtain a subscription key <https://projectoxford.ai/speech>`__. \n\n.. code:: python\n\n    from projectoxford.speech import SpeechClient\n    sc = SpeechClient(\"YOUR-KEY-GOES-HERE\", gender='Male', locale='en-US')\n\nYou can use ``sc.say_to_wav`` to create a wave file containing synthesized speech, or ``sc.say`` to immediately play the speech.\n\n.. code:: python\n\n    data = sc.say_to_wav(\"Hello. I have been written to a file.\", filename=\"test.wav\")\n    sc.say(\"I am being read out loud, right now.\")\n\nYou can use ``sc.recognize`` to convert speech in a wave file into text, or without providing a file to record up to 30 seconds from the user's default microphone.\n\nIf the response indicates that it does not have high confidence in the result, a ``LowConfidenceError`` is raised. ``args[0]`` on the error contains the best guess at the text. If no result can be determined at all, ``ValueError`` is raised.\n\nThe ``recognize_raw`` method returns the JSON response from the service, which contains more information than is available from ``recognize``.\n\n.. code:: python\n\n    from projectoxford.speech import LowConfidenceError\n    text = sc.recognize('some_speech.wav')\n    \n    try:\n        text = sc.recognize()\n    except LowConfidenceError as err:\n        text = err.args[0]\n    \n    json_data = sc.recognize_raw()\n\nFunctions ``sc.print`` and ``sc.input`` can be used to override the builtin ``print`` and ``input`` functions to easily convert existing code.\n\n.. code:: python\n\n    print = sc.print\n    input = sc.input\n    \n    print(\"Welcome to my application.\")\n    name = input(\"What is your name?\")\n\nAudio playback and recording is performed by the ``projectoxford.audio`` module. Currently, only Windows is supported, and the user's default device is always used.\n\nBy default, ``record`` waits for some sound to be heard, then records until one second of silence. Use the `quiet_threshold` argument to adjust sensitivity, and the `get_quiet_threshold` function can to obtain this value by recording a short period of silence.\n\nThe ``play`` function takes a filename or the raw contents of a wave file and plays the entire sound before returning.\n\n.. code:: python\n\n    from projectoxford.audio import play, record\n    wave_file_contents = record()\n    play(wave_file_contents)\n    \n    # Record for 5 seconds\n    data = record(seconds=5, quiet_seconds=0, wait_for_sound=False)\n\nUse ``help(record)`` to review other arguments.\n\nContributing\n------------\n\nOver time we hope to add the full range of Project Oxford APIs to this library. Contributions are welcome.\n\nLicence\n-------\n\nThis Project Oxford client library is distributed under the MIT license. See LICENSE for full details.",
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