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spectrum.py
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spectrum.py
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import numpy as np
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
import struct
import pyaudio
from scipy.fftpack import fft
import sys
import time
import pyaudio
import wave
class AudioStream(object):
def __init__(self):
# pyqtgraph window option
pg.setConfigOptions(antialias=True)
self.traces = dict()
self.app = QtGui.QApplication(sys.argv)
self.win = pg.GraphicsWindow(title='Spectrum Analyzer')
self.win.setWindowTitle('Spectrum Analyzer')
self.win.setGeometry(5, 115, 500, 500)
wf_xlabels = [(0, '0'), (2048, '2048'), (4096, '4096')]
wf_xaxis = pg.AxisItem(orientation='bottom')
wf_xaxis.setTicks([wf_xlabels])
wf_ylabels = [(0, '0'), (127, '128'), (255, '255')]
wf_yaxis = pg.AxisItem(orientation='left')
wf_yaxis.setTicks([wf_ylabels])
sp_xlabels = [
(np.log10(10), '10'), (np.log10(100), '100'),
(np.log10(1000), '1000'), (np.log10(22050), '22050')
]
sp_xaxis = pg.AxisItem(orientation='bottom')
sp_xaxis.setTicks([sp_xlabels])
self.waveform = self.win.addPlot(
title='WAVEFORM', row=1, col=1, axisItems={'bottom': wf_xaxis, 'left': wf_yaxis},
)
self.spectrum = self.win.addPlot(
title='SPECTRUM', row=2, col=1, axisItems={'bottom': sp_xaxis},
)
# convert audio to binari data
self.FORMAT = pyaudio.paInt16
self.CHANNELS = 1
self.RATE = 160800
self.CHUNK = 2084 * 2
# Create an interface to PortAudio
self.p = pyaudio.PyAudio()
self.stream = self.p.open(
format=self.FORMAT,
channels=self.CHANNELS,
rate=self.RATE,
input=True,
output=True,
frames_per_buffer=self.CHUNK,
)
# waveform and spectrum x points
self.x = np.arange(0, 2 * self.CHUNK, 2)
self.f = np.linspace(0, int (self.RATE / 2), int (self.CHUNK / 2))
def start(self):
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()
def set_plotdata(self, name, data_x, data_y):
if name in self.traces:
self.traces[name].setData(data_x, data_y)
else:
if name == 'waveform':
self.traces[name] = self.waveform.plot(pen='c', width=3)
self.waveform.setYRange(0, 255, padding=0)
self.waveform.setXRange(0, 2 * self.CHUNK, padding=0.005)
self.waveform.hideAxis('bottom') #hide axes
self.waveform.hideAxis('left')
if name == 'spectrum':
self.traces[name] = self.spectrum.plot(pen='m', width=3)
self.spectrum.setLogMode(x=True, y=True)
self.spectrum.showGrid(x = True, y = True, alpha = 0.3)
self.spectrum.setLabel('bottom', 'Frequency [Hz]')
self.spectrum.setYRange(-4, 0, padding=0)
self.spectrum.setXRange(
np.log10(20), np.log10(self.RATE / 2), padding=0.005)
def update(self):
wf_data = self.stream.read(self.CHUNK)
wf_data = struct.unpack(str(2 * self.CHUNK) + 'B', wf_data)
wf_data = np.array(wf_data, dtype='b')[::2] + 128
self.set_plotdata(name='waveform', data_x=self.x, data_y=wf_data,)
sp_data = fft(np.array(wf_data, dtype='int8') - 128)
sp_data = np.abs(sp_data[0:int(self.CHUNK / 2)]
) * 2 / (128 * self.CHUNK)
self.set_plotdata(name='spectrum', data_x=self.f, data_y=sp_data)
def animation(self):
timer = QtCore.QTimer()
timer.timeout.connect(self.update)
timer.start(20)
self.start()
if __name__ == '__main__':
audio_app = AudioStream()
audio_app.animation()