HomeSort by relevance Sort by last modified time
    Searched refs:spectral (Results 1 - 4 of 4) sorted by null

  /external/autotest/client/cros/audio/
check_quality.py 52 parser.add_argument('--spectral-only', action='store_true', default=False,
53 help='Only do spectral analysis on each channel.')
310 spectral = audio_analysis.spectral_analysis(
313 logging.debug('Channel %d spectral:\n%s', channel_idx,
314 pprint.pformat(spectral))
317 spectral = [(f, c) for (f, c) in spectral if f < ignore_high_freq]
319 logging.info('Channel %d spectral after ignoring high frequencies '
321 pprint.pformat(spectral))
327 dominant_frequency=spectral[0][0]
    [all...]
audio_analysis_unittest.py 111 """This unittest checks the spectral analysis works on real data."""
122 spectral = audio_analysis.spectral_analysis(
124 logging.debug('channel %s: %s', channel, spectral)
125 self.assertTrue(abs(spectral[0][0] - golden_frequency[channel]) < 5,
  /external/autotest/client/cros/chameleon/
audio_test_utils.py 405 component in the spectral with frequency too
455 spectral = audio_analysis.spectral_analysis(
457 logging.debug('spectral: %s', spectral)
459 if not spectral:
465 logging.debug('Checking channel %s spectral %s against frequency %s',
466 test_channel, spectral, golden_frequency)
468 dominant_frequency = spectral[0][0]
600 for freq, coeff in spectral:
608 x for x in spectral if not should_be_ignored(x[0])
    [all...]
  /external/tensorflow/tensorflow/lite/models/testdata/g3doc/
README.md 46 typical signal processing algorithms, like FFT and spectral subtraction, and

Completed in 257 milliseconds