.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_real_time_streaming_example.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_real_time_streaming_example.py:


Real-time stream of audio from your microphone
==============================================

This is an example of using your own Microphone to continuously transcribe what is being uttered,
**while it is being uttered**. Whenever the recognizer detects a silence in the audio stream
from your microphone, the generator will return is_last=True, and the full transcription from the secondary model.


.. code-block:: default



    from danspeech import Recognizer
    from danspeech.pretrained_models import CPUStreamingRNN, TestModel
    from danspeech.audio.resources import Microphone
    from danspeech.language_models import DSL3gram

    print("Loading model...")
    model = CPUStreamingRNN()

    mic_list = Microphone.list_microphone_names()
    mic_list_with_numbers = list(zip(range(len(mic_list)), mic_list))
    print("Available microphones: {0}".format(mic_list_with_numbers))
    mic_number = input("Pick the number of the microphone you would like to use: ")
    m = Microphone(sampling_rate=16000, device_index=int(mic_number))

    r = Recognizer()

    print("Adjusting energy level...")
    with m as source:
        r.adjust_for_ambient_noise(source, duration=1)


    seconday_model = TestModel()
    r = Recognizer(model=model)
    try:
        lm = DSL3gram()
        r.update_decoder(lm=lm)
    except ImportError:
        print("ctcdecode not installed. Using greedy decoding.")


    r.enable_real_time_streaming(streaming_model=model, string_parts=False, secondary_model=seconday_model)
    generator = r.real_time_streaming(source=m)

    iterating_transcript = ""
    print("Speak!")
    while True:
        is_last, trans = next(generator)

        # If the transcription is empty, it means that the energy level required for data
        # was passed, but nothing was predicted.
        if is_last and trans:
            print("Final: " + trans)
            iterating_transcript = ""
            continue

        if trans:
            iterating_transcript += trans
            print(iterating_transcript)
            continue





.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_real_time_streaming_example.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: real_time_streaming_example.py <real_time_streaming_example.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: real_time_streaming_example.ipynb <real_time_streaming_example.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_