Currently I'm using NumPy to generate the WAV file from a NumPy array. I wonder if it's possible to play the NumPy array in realtime before it's actually written to the hard drive. All examples I found using PyAudio rely on writing the NumPy array to a WAV file first, but I'd like to have a preview function that just spits out the NumPy array to the audio output.
Should be cross-platform, too. I'm using Python 3 (Anaconda distribution).
This has worked! Thanks for help!
def generate_sample(self, ob, preview):
print("* Generating sample...")
tone_out = array(ob, dtype=int16)
if preview:
print("* Previewing audio file...")
bytestream = tone_out.tobytes()
pya = pyaudio.PyAudio()
stream = pya.open(format=pya.get_format_from_width(width=2), channels=1, rate=OUTPUT_SAMPLE_RATE, output=True)
stream.write(bytestream)
stream.stop_stream()
stream.close()
pya.terminate()
print("* Preview completed!")
else:
write('sound.wav', SAMPLE_RATE, tone_out)
print("* Wrote audio file!")
Seems so simple now, but when you don't know Python very well, it seems like hell.
This is really simple with python-sounddevice :
import sounddevice as sd
sd.play(myarray, 44100)
As you can see in the examples , pyaudio just reads data from the WAV file and writes that to the stream.
It is not necessary to write a WAV file first, you just need a stream of data in the right format .
I'm adding the example below in case the link ever goes dead (note that I didn't write this code):
"""PyAudio Example: Play a WAVE file."""
import pyaudio
import wave
import sys
CHUNK = 1024
if len(sys.argv) < 2:
print("Plays a wave file.\n\nUsage: %s filename.wav" % sys.argv[0])
sys.exit(-1)
wf = wave.open(sys.argv[1], 'rb')
p = pyaudio.PyAudio()
stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
channels=wf.getnchannels(),
rate=wf.getframerate(),
output=True)
data = wf.readframes(CHUNK)
while data != '':
stream.write(data)
data = wf.readframes(CHUNK)
stream.stop_stream()
stream.close()
p.terminate()
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