audio-waveform-example.py

import matplotlib.pyplot as plt
import numpy as np
import wave
import sys
import pyaudio # to install pyaudio on osx: brew install portaudio then pip install --allow-external pyaudio --allow-unverified pyaudio pyaudio
import speech_recognition as sr # pip install speechrecognition
from termcolor import colored
import pyaudio
import wave
r = sr.Recognizer()
with sr.Microphone() as source:                # use the default microphone as the audio source
    audio = r.listen(source)  

CHUNK = 1024 
FORMAT = pyaudio.paInt16 #paInt8
CHANNELS = 1 
RATE = 44100 #sample rate
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "output.wav"

p = pyaudio.PyAudio()

stream = p.open(format=FORMAT,
                channels=CHANNELS,
                rate=RATE,
                input=True,
                frames_per_buffer=CHUNK) #buffer

print("* recording")

frames = []

for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
    data = stream.read(CHUNK)
    frames.append(data) # 2 bytes(16 bits) per channel
wf = wave.open('temp.wav', 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()
print("* done recording")
stream.stop_stream()
stream.close()
p.terminate()
spf = wave.open('temp.wav','r')
signal = spf.readframes(-1)
signal = np.fromstring(signal, 'Int16')
plt.figure(1)
plt.title('Signal Wave...')
plt.plot(signal)
plt.show()
exit()