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import matplotlib.pyplot as plt

import numpy as np

import wave

# to install pyaudio on osx: brew install portaudio then pip

# install --allow-external pyaudio --allow-unverified pyaudio pyaudio

import pyaudio

import speech_recognition as sr # pip install speechrecognition

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()