204 lines
7.2 KiB
Python
204 lines
7.2 KiB
Python
import logging
|
|
from typing import List, Dict
|
|
import queue
|
|
|
|
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])
|
|
|
|
note_names = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B']
|
|
|
|
|
|
def freq2note(freq: float):
|
|
log_freq = numpy.log2(freq / 440)
|
|
note = 12 * log_freq + 69
|
|
base_note = numpy.round(note).astype(int)
|
|
return log_freq, note, base_note
|
|
|
|
|
|
def get_supported_sample_rates(pyaudio_device: int,
|
|
pyaudio_object: pyaudio.PyAudio = None,
|
|
) -> List[int]:
|
|
if pyaudio_object is None:
|
|
pyaudio_object = pyaudio.PyAudio()
|
|
|
|
supported_sample_rates = []
|
|
devinfo = pyaudio_object.get_device_info_by_index(device)
|
|
for rate in standard_sample_rates:
|
|
try:
|
|
if pyaudio_object.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 sample rates for device {}: {}'.format(device, supported_sample_rates))
|
|
|
|
|
|
class AudioAnalyzer:
|
|
frame_queue = None # type: queue.Queue
|
|
|
|
_hanning_window = None
|
|
_fft_buffer = None
|
|
_fft_lock = None
|
|
_stream = None
|
|
_pyaudio_object = None
|
|
|
|
_fft_freqs = None
|
|
_sample_rate = None
|
|
_samples_per_buffer = None
|
|
|
|
stop = None
|
|
|
|
def __init__(pyaudio_device: int,
|
|
min_freq: float = 20,
|
|
max_freq: float = 20e3,
|
|
samples_per_buffer: int = 1024,
|
|
freq_resolution: float = None,
|
|
):
|
|
|
|
self._pyaudio_object = pyaudio.PyAudio()
|
|
|
|
'''
|
|
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)
|
|
'''
|
|
if freq_resolution is None:
|
|
freq_resolution = min_freq * 2**(1/12) / 10
|
|
|
|
supported_sample_rates = get_supported_sample_rates(pyaudio_device, self._pyaudio_object)
|
|
rate_is_acceptable = supported_sample_rates >= 2 * max_freq
|
|
sample_rate = numpy.min(supported_sample_rates[rate_is_acceptable]).astype(int)
|
|
|
|
num_buffers = numpy.ceil(sample_rate / (samples_per_buffer * freq_resolution)).astype(int)
|
|
samples_per_fft = samples_per_buffer * num_buffers
|
|
|
|
self._sample_rate = sample_rate
|
|
self._samples_per_buffer = samples_per_buffer
|
|
self._hanning_window = (1 - numpy.cos(numpy.linspace(0, 2 * pi, samples_per_fft, False))) / 2
|
|
self._fft_freqs = numpy.fft.fftfreq(samples_per_fft, 1 / sample_rate)
|
|
self._fft_buffer = numpy.zeros(num_buffers * samples_per_buffer, dtype=numpy.float32)
|
|
self.stop = False
|
|
self._fft_lock = threading.Lock()
|
|
self.frame_queue = queue.Queue()
|
|
|
|
self._stream = audio.open(format=pyaudio.paInt16,
|
|
channels=1,
|
|
rate=sample_rate,
|
|
input=True,
|
|
frames_per_buffer=samples_per_buffer,
|
|
stream_callback=self.update)
|
|
|
|
logger.info('Opened 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))
|
|
|
|
@property
|
|
def fft_freqs(self) -> float:
|
|
return self._fft_freqs
|
|
|
|
def start(self):
|
|
self._stream.start_stream()
|
|
|
|
def close(self):
|
|
self.stop = True
|
|
self._stream.close()
|
|
self._pyaudio_object.terminate()
|
|
|
|
def update(self,
|
|
in_data: bytes,
|
|
frame_count: int,
|
|
time_info: Dict,
|
|
status_flags,
|
|
):
|
|
#TODO deal with exceptions happening in the callback!
|
|
|
|
in_buffer = numpy.fromstring(in_data, numpy.int16)
|
|
samples_per_buffer = in_buffer.size
|
|
|
|
with self._fft_lock:
|
|
self._fft_buffer[:-samples_per_buffer] = self._fft_buffer[samples_per_buffer:]
|
|
self._fft_buffer[-samples_per_buffer:] = in_buffer
|
|
fft = numpy.fft.rfft(self._fft_buffer * self._hanning_window)
|
|
|
|
fft_argmax = numpy.abs(fft[1:]).argmax() + 1 # excluding 0-frequency
|
|
frame_data = {
|
|
'fft': fft,
|
|
'fft_argmax': fft_argmax,
|
|
'frequency': self.fft_freqs[fft_argmax],
|
|
'magnitude': numpy.abs(fft[fft_argmax]),
|
|
}
|
|
|
|
time_per_buffer = self._samples_per_buffer / self._sample_rate
|
|
try:
|
|
self.frame_queue.put(frame_data, timeout=time_per_buffer * 10)
|
|
except queue.Full:
|
|
logger.warning('Frame queue was full for more than 10 buffer periods!')
|
|
|
|
if self.stop:
|
|
return None, pyaudio.paComplete
|
|
else:
|
|
return None, pyaudio.paContinue
|
|
|
|
|
|
|
|
def monitor_pitch(device: int = 5,
|
|
min_freq: float = 10,
|
|
max_freq: float = 6000,
|
|
):
|
|
|
|
analyzer = AudioAnalyzer(device=device,
|
|
min_freq=min_freq,
|
|
max_freq=max_freq)
|
|
|
|
prev_magnitude = 0
|
|
|
|
analyzer.start()
|
|
while True:
|
|
frame_data = analyzer.frame_queue.get()
|
|
|
|
if frame_data['magnitude'] <= prev_magnitude / 2:
|
|
continue
|
|
|
|
prev_magnitude = frame_data['magnitude']
|
|
_, mnote, mnote_base = freq2note(frame_data['frequency'])
|
|
|
|
mnote_error = mnote - mnote_base
|
|
logger.info('freq: {:7.2f} Hz mag:{:7.2f} note: {:>3s} {:+.2f}'.format(
|
|
freq, numpy.log10(mag), note_names[base_mnote % 12] + str(base_mnote//12 - 1), mnote_error))
|
|
|
|
max_num_symbols = 5
|
|
num_symbols = int(mnote_error // (0.5 / max_num_symbols))
|
|
if num_symbols > 0:
|
|
signal = ' ' * max_num_symbols + ' ' + '+' * num_symbols
|
|
elif num_symbols == 0:
|
|
signal = ' ' * max_num_symbols + '|'
|
|
elif num_symbols < 0:
|
|
signal = ' ' * (max_num_symbols - num_symbols) + '-' * num_symbols
|
|
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)
|
|
|