initial commit

master
jan 6 years ago
commit dbe3f7cede

@ -0,0 +1,111 @@
import logging
import pyaudio
import numpy
from numpy import pi
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
standard_sample_rates = 1000 * numpy.array([
8, 9.6, 11.025, 12, 16, 22.05, 24, 32,
44.1, 48, 88.2, 96, 192])
def monitor_pitch(device: int = 5,
max_freq: float = 6000,
min_freq: float = 10,
samples_per_buffer: int = 1024,
audio: pyaudio.PyAudio = None,
):
if audio is None:
audio = pyaudio.PyAudio()
supported_sample_rates = []
devinfo = audio.get_device_info_by_index(device)
for rate in standard_sample_rates:
try:
if audio.is_format_supported(rate,
input_device=device,
input_channels=devinfo['maxInputChannels'],
input_format=pyaudio.paInt16):
supported_sample_rates.append(rate)
except ValueError:
pass
supported_sample_rates = numpy.array(supported_sample_rates)
logger.info('Supported rates: {}'.format(supported_sample_rates))
'''
max_freq < 2 * sample_rate
min_freq * 2**(1/12) > freq_resolution (for discrimination), more for accuracy...
freq_resolution <= sample_rate / (samples_per_buffer * num_buffers)
'''
freq_resolution = min_freq * 2**(1/12) / 10
rate_is_acceptable = supported_sample_rates >= 2 * max_freq
sample_rate = int(numpy.min(supported_sample_rates[rate_is_acceptable]))
num_buffers = int(numpy.ceil(sample_rate / (samples_per_buffer * freq_resolution)))
samples_per_fft = samples_per_buffer * num_buffers
logger.info('Running on device {} with {} buffers,'.format(device, num_buffers) +
' {} sample rate, {} samples per buffer'.format(
device, num_buffers, sample_rate, samples_per_buffer))
logger.info('Buffers take {:.3g} sec to fully clear'.format(samples_per_fft / sample_rate))
stream = audio.open(format=pyaudio.paInt16,
channels=1,
rate=sample_rate,
input=True,
frames_per_buffer=samples_per_buffer)
stream.start_stream()
# Hanning window
window = (1 - numpy.cos(numpy.linspace(0, 2 * pi, samples_per_fft, False))) / 2
freqs = numpy.fft.fftfreq(samples_per_fft, 1 / sample_rate)
buf = numpy.zeros(num_buffers * samples_per_buffer, dtype=numpy.float32)
note_names = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B']
while stream.is_active():
# Shift the buffer down and new data in
buf[:-samples_per_buffer] = buf[samples_per_buffer:]
buf[-samples_per_buffer:] = numpy.fromstring(stream.read(samples_per_buffer), numpy.int16)
fft = numpy.fft.rfft(buf * window)
# Get frequency of maximum response in range
ind = numpy.abs(fft[1:]).argmax() + 1
freq = freqs[ind]
mag = numpy.abs(fft[ind])
# Get note number and nearest note
q = numpy.log2(freq/440)
n = 12 * q + 69
n0 = int(round(n))
delta = n - n0
logger.info('freq: {:7.2f} Hz mag:{:7.2f} note: {:>3s} {:+.2f}'.format(
freq, numpy.log10(mag), note_names[n0 % 12] + str(n0//12 - 1), delta))
delta_part = int(delta // 0.1)
if delta_part > 0:
signal = ' ' * 6 + '+' * delta_part
elif delta_part == 0:
signal = ' ' * 5 + '|'
elif delta_part < 0:
signal = ' ' * (5 + delta_part) + '-' * delta_part
logger.info(' {}'.format(signal))
if __name__ == '__main__':
audio = pyaudio.PyAudio()
logger.info("Available devices:")
for device in range(audio.get_device_count()):
devinfo = audio.get_device_info_by_index(device)
if devinfo['maxInputChannels'] > 0:
logger.info('{}: {}'.format(device, devinfo['name']))
monitor_pitch(device=5, min_freq=20)
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