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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 311 milliseconds