def test_good_signal(self):
"""Sine wave signal with no noise or artifacts."""
result = audio_quality_measurement.quality_measurement(
self.y, self.rate)
self.assertTrue(len(result['artifacts']['noise_before_playback']) == 0)
self.assertTrue(len(result['artifacts']['noise_after_playback']) == 0)
self.assertTrue(len(result['artifacts']['delay_during_playback']) == 0)
self.assertTrue(len(result['artifacts']['burst_during_playback']) == 0)
self.assertTrue(len(result['volume_changes']) == 0)
self.assertTrue(result['equivalent_noise_level'] < 0.005)
def test_burst_during_playback(self):
"""Sine wave with burst during playback."""
self.generate_burst_during_playback()
result = audio_quality_measurement.quality_measurement(
self.y, self.rate)
self.assertTrue(len(result['artifacts']['noise_before_playback']) == 0)
self.assertTrue(len(result['artifacts']['noise_after_playback']) == 0)
self.assertTrue(len(result['artifacts']['delay_during_playback']) == 0)
self.assertTrue(len(result['artifacts']['burst_during_playback']) == 5)
self.assertTrue(len(result['volume_changes']) == 10)
self.assertTrue(result['equivalent_noise_level'] > 0.02)
for i in range(len(result['artifacts']['burst_during_playback'])):
delta = abs(self.burst_start_time[i] -
result['artifacts']['burst_during_playback'][i])
self.assertTrue(delta < 0.002)
def test_artifacts_after_playback(self):
"""Sine wave with artifacts after playback."""
self.generate_artifacts_after_playback()
result = audio_quality_measurement.quality_measurement(
self.y, self.rate)
self.assertTrue(len(result['artifacts']['noise_before_playback']) == 0)
self.assertTrue(len(result['artifacts']['noise_after_playback']) == 1)
delta = abs(result['artifacts']['noise_after_playback'][0][0] - 1.95)
self.assertTrue(delta < 0.01)
delta = abs(result['artifacts']['noise_after_playback'][0][1] - 0.02)
self.assertTrue(delta < 0.001)
self.assertTrue(len(result['artifacts']['delay_during_playback']) == 0)
self.assertTrue(len(result['artifacts']['burst_during_playback']) == 0)
self.assertTrue(len(result['volume_changes']) == 0)
self.assertTrue(result['equivalent_noise_level'] < 0.005)
def test_volume_changing(self):
"""Sine wave with volume changing during playback."""
self.generate_volume_changing()
result = audio_quality_measurement.quality_measurement(
self.y, self.rate)
self.assertTrue(len(result['artifacts']['noise_before_playback']) == 0)
self.assertTrue(len(result['artifacts']['noise_after_playback']) == 0)
self.assertTrue(len(result['artifacts']['delay_during_playback']) == 0)
self.assertTrue(len(result['artifacts']['burst_during_playback']) == 0)
self.assertTrue(result['equivalent_noise_level'] < 0.005)
self.assertTrue(
len(result['volume_changes']) == len(self.volume_changing))
for i in range(len(self.volume_changing)):
self.assertTrue(
abs(self.volume_changing_time[i] -
result['volume_changes'][i][0]) < 0.01)
self.assertTrue(
self.volume_changing[i] == result['volume_changes'][i][1])
def test_delay(self):
"""Sine wave with delay during playing."""
self.generate_delay()
result = audio_quality_measurement.quality_measurement(
self.y, self.rate)
self.assertTrue(len(result['artifacts']['noise_before_playback']) == 0)
self.assertTrue(len(result['artifacts']['noise_after_playback']) == 0)
self.assertTrue(
len(result['volume_changes']) == 2 * len(self.delay_start_time))
self.assertTrue(result['equivalent_noise_level'] < 0.005)
self.assertTrue(
len(result['artifacts']['delay_during_playback']) == len(
self.delay_start_time))
for i in range(len(result['artifacts']['delay_during_playback'])):
delta = abs(result['artifacts']['delay_during_playback'][i][0] -
self.delay_start_time[i])
self.assertTrue(delta < 0.001)
duration = self.delay_end_time[i] - self.delay_start_time[i]
delta = abs(result['artifacts']['delay_during_playback'][i][1] -
duration)
self.assertTrue(delta < 0.001)
def do_spectral_analysis(self, ignore_high_freq, check_quality,
quality_params):
"""Gets the spectral_analysis result.
Args:
ignore_high_freq: Ignore high frequencies above this threshold.
check_quality: Check quality of each channel.
quality_params: A QualityParams object for quality measurement.
"""
self.has_data()
for channel_idx in range(self._raw_data.channel):
signal = self._raw_data.channel_data[channel_idx]
max_abs = max(numpy.abs(signal))
logging.debug('Channel %d max abs signal: %f', channel_idx,
max_abs)
if max_abs == 0:
logging.info('No data on channel %d, skip this channel',
channel_idx)
continue
saturate_value = audio_data.get_maximum_value_from_sample_format(
self._raw_data.sample_format)
normalized_signal = audio_analysis.normalize_signal(
signal, saturate_value)
logging.debug('saturate_value: %f', saturate_value)
logging.debug('max signal after normalized: %f',
max(normalized_signal))
spectral = audio_analysis.spectral_analysis(
normalized_signal, self._rate)
logging.debug('Channel %d spectral:\n%s', channel_idx,
pprint.pformat(spectral))
# Ignore high frequencies above the threshold.
spectral = [(f, c) for (f, c) in spectral if f < ignore_high_freq]
logging.info(
'Channel %d spectral after ignoring high frequencies '
'above %f:\n%s', channel_idx, ignore_high_freq,
pprint.pformat(spectral))
try:
if check_quality:
quality = audio_quality_measurement.quality_measurement(
signal=normalized_signal,
rate=self._rate,
dominant_frequency=spectral[0][0],
block_size_secs=quality_params.block_size_secs,
frequency_error_threshold=quality_params.
frequency_error_threshold,
delay_amplitude_threshold=quality_params.
delay_amplitude_threshold,
noise_amplitude_threshold=quality_params.
noise_amplitude_threshold,
burst_amplitude_threshold=quality_params.
burst_amplitude_threshold)
logging.debug('Channel %d quality:\n%s', channel_idx,
pprint.pformat(quality))
self._quality_result.append(quality)
self._spectrals.append(spectral)
except Exception as error:
logging.warning(
"Failed to analyze channel {} with error: {}".format(
channel_idx, error))