[Tutor] How to check whether audio bytes contain empty noise or actual voice/signal?

[marc nicole]

Thanks for the information.

But what is a good way to look for presence of sound over the "background"
from the audio data in Python 2.7?

Thanks.

Le sam. 26 oct. 2024 à 01:52, dn via Tutor <tutor at python.org> a écrit :

> On 26/10/24 05:25, marc nicole via Tutor wrote:
> > Hello Python fellows,
> >
> > I hope this question is not very far from the main topic of this list,
> but
> > I have a hard time finding a way to check whether audio data samples are
> > containing empty noise or actual significant voice/noise.
> >
> > I am using PyAudio to collect the sound through my PC mic as follows:
> >
> > FRAMES_PER_BUFFER = 1024
> > FORMAT = pyaudio.paInt16
> > CHANNELS = 1
> > RATE = 48000
> > RECORD_SECONDS = 2import pyaudio
> > audio = pyaudio.PyAudio()
> > stream = audio.open(format=FORMAT,
> >                  channels=CHANNELS,
> >                  rate=RATE,
> >                  input=True,
> >                  frames_per_buffer=FRAMES_PER_BUFFER,
> >                  input_device_index=2)
> > data = stream.read(FRAMES_PER_BUFFER)
> >
> >
> > I want to know whether or not data contains voice signals or empty sound,
> > To note that the variable always contains bytes (empty or sound) if I
> print
> > it.
> >
> > Is there an straightforward "easy way" to check whether data is filled
> with
> > empty noise or that somebody has made noise/spoke?
>
> If it were "easy" then there would be articles and tutorials aplenty...
>
> Signal processing is a very involved topic.
>
> A Fourier Transform can be thought of as converting a graph from signal
> against time, to frequency components. Speech can then be identified.
>
> Filtering allows the inclusion/removal of unwanted frequencies (probably
> not useful, per spec).
>
> Spectral Analysis is similar to above but with respect to changes over
> time.
>
> Time-Domain analysis stays at the level of the current code. Try
> graphing that. A lead-in period (of "silence") should enable
> identification of background/technical noise. Perhaps thereafter, the
> presence of sound over-and-above the "background" will be sufficient for
> your purposes (use-case not stated).
>
> --
> Regards,
> =dn
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