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ANSI art spectrogram viewer that reads audio from a microphone
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#!/usr/bin/python | |
import numpy | |
import pyaudio | |
import re | |
import sys | |
WIDTH = 79 | |
BOOST = 1.0 | |
# Create a nice output gradient using ANSI escape sequences. | |
cols = [30, 34, 35, 91, 93, 97] | |
chars = [(' ', False), (':', False), ('%', False), ('#', False), | |
('#', True), ('%', True), (':', True)] | |
gradient = [] | |
for bg, fg in zip(cols, cols[1:]): | |
for char, invert in chars: | |
if invert: | |
bg, fg = fg, bg | |
gradient.append('\x1b[{};{}m{}'.format(fg, bg + 10, char)) | |
class Spectrogram(object): | |
def __init__(self): | |
self.audio = pyaudio.PyAudio() | |
def __enter__(self): | |
"""Open the microphone stream.""" | |
device_index = self.find_input_device() | |
device_info = self.audio.get_device_info_by_index(device_index) | |
rate = int(device_info['defaultSampleRate']) | |
self.buffer_size = int(rate * 0.02) | |
self.stream = self.audio.open(format=pyaudio.paInt16, | |
channels=1, rate=rate, input=True, | |
input_device_index=device_index, | |
frames_per_buffer=self.buffer_size) | |
return self | |
def __exit__(self, *ignored): | |
"""Close the microphone stream.""" | |
self.stream.close() | |
def find_input_device(self): | |
""" | |
Find a microphone input device. Return None if no preferred | |
deveice was found, and the default should be used. | |
""" | |
for i in range(self.audio.get_device_count()): | |
name = self.audio.get_device_info_by_index(i)['name'] | |
if re.match('mic|input', name, re.I): | |
return i | |
return None | |
def color(self, x): | |
""" | |
Given 0 <= x <= 1 (input is clamped), return a string of ANSI | |
escape sequences representing a gradient color. | |
""" | |
x = max(0.0, min(1.0, x)) | |
return gradient[int(x * (len(gradient) - 1))] | |
def listen(self): | |
"""Listen for one buffer of audio and print a gradient.""" | |
block_string = self.stream.read(self.buffer_size) | |
block = numpy.fromstring(block_string, dtype='h') / 32768.0 | |
nbands = 30 * WIDTH | |
fft = abs(numpy.fft.fft(block, n=nbands)) | |
pos, neg = numpy.split(fft, 2) | |
bands = (pos + neg[::-1]) / float(nbands) * BOOST | |
line = (self.color(x) for x in bands[:WIDTH]) | |
print ''.join(line) + '\x1b[0m' | |
sys.stdout.flush() | |
if __name__ == '__main__': | |
with Spectrogram() as s: | |
while True: | |
s.listen() |
I took the liberty of turning this into an example application for the sounddevice module: spectrogram.py.
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Here's an alternative implementation: