Last active
August 29, 2015 14:17
-
-
Save kylemcdonald/0c822f3c7115892d6adf to your computer and use it in GitHub Desktop.
Live audio input with pyprocessing.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# to get the latest pyprocessing: | |
# pip install --allow-unverified pyprocessing pyprocessing==0.1.3.22 | |
import matplotlib.pyplot as plt | |
import scipy.fftpack as sfft | |
from scipy.io import wavfile | |
from scipy.signal import blackman | |
import numpy as np | |
import math | |
import os, time | |
import pyaudio | |
from pyprocessing import * | |
N = 1024 | |
size(1024, 512) | |
background(0) | |
recent = [] | |
window = blackman(N) | |
def draw(): | |
background(0) | |
if len(recent): | |
# draw time-amplitude | |
pushMatrix() | |
translate(0, height/2) | |
scale(width / N, height/2) | |
stroke(255) | |
noFill() | |
beginShape() | |
for x, y in enumerate(recent): | |
vertex(x, y) | |
endShape() | |
popMatrix() | |
# draw frequency-amplitude | |
freq = sfft.fft(recent * window) | |
nyquist = len(freq)/2 | |
amp = np.absolute(freq[:nyquist]) | |
pushMatrix() | |
translate(0, height) | |
scale(width, -height) | |
stroke(255) | |
noFill() | |
beginShape() | |
for x, y in enumerate(amp): | |
vertex(math.log(1+x, nyquist), pow(y, .5)) | |
endShape() | |
popMatrix() | |
def audioInput(in_data, frame_count, time_info, status): | |
global recent | |
recent = np.fromstring(in_data, 'Int32').astype(float) | |
recent /= np.iinfo(np.int32).max | |
return (None, pyaudio.paContinue) | |
audio = pyaudio.PyAudio() | |
format = pyaudio.paInt32 | |
stream = audio.open(format=format, # bytes per sample | |
channels=1, | |
rate=48000, | |
input=True, | |
output=False, | |
frames_per_buffer=N, | |
stream_callback=audioInput) | |
stream.start_stream() | |
run() | |
stream.stop_stream() | |
stream.close() | |
audio.terminate() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment