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We have three objects to use.

Audio In

Used to output analised data from audio. Objects with Partial Trackings, Audio Descriptors, and others.

To create Audio In objects, you have two options.

pd.add_object(myfft, "myfft~", objtype=pd.AUDIOIN)

or for more complex and complete objects

myfftobj = pd.new_object("myfft~")
myfftobj.type = pd.AUDIOIN


The first inlet of this object always needs to be audio, in Python, the first also always will be audio. For audio py4pd uses a numpy array, you can use snake~ in to create objects with multiple audio inputs, each channel will be one dimension of the array.

Audio Input Image

Python Code
import pd
import numpy

def audioin(audio):
    fft = numpy.fft.fft(audio)
    fft = numpy.real(fft)
    return fft.tolist() # numpy can just be outputed when pyout=True

def libraryname_setup():
    pd.add_object(audioin, "audioin", objtype=pd.AUDIOIN)

Audio Out

Used to create audio using Python. Objects that create sinusoids, some special noise, and others.

To create an Audio out object, in pd.add_object we add the objtype=pd.AUDIOOUT.

The audio function always needs to return a numpy array.

Audio Output Image

Audio (in/out)

Used to manipulate Audio. FFT, reverbs, and others.

To create an Audio object (audio input and output), in pd.add_object we add the objtype=pd.AUDIO.

Audio Image

Python Code
    import pd
    import numpy

    def audio(audio, amplitude):
        if amplitude is None:
            amplitude = 0.2
        audio = numpy.multiply(audio, amplitude)
        return audio

    def libraryname_setup():
        pd.add_object(audio, "audio", objtype=pd.AUDIO)