def testSimple(self):
with self.test_session():
audio = tf.constant([0, 32767, 0, -32768] *
((WINDOW_SIZE + 4 * WINDOW_STEP) // 4),
tf.int16)
filterbanks = frontend_op.audio_microfrontend(
audio,
sample_rate=SAMPLE_RATE,
window_size=WINDOW_SIZE,
window_step=WINDOW_STEP,
num_channels=NUM_CHANNELS,
upper_band_limit=UPPER_BAND_LIMIT,
lower_band_limit=LOWER_BAND_LIMIT,
smoothing_bits=SMOOTHING_BITS,
enable_pcan=True)
self.assertAllEqual(
filterbanks.eval(),
[[479, 425], [436, 378], [410, 350], [391, 325]])
def testSimpleFloatScaled(self):
with self.test_session():
audio = tf.constant([0, 32767, 0, -32768] *
((WINDOW_SIZE + 4 * WINDOW_STEP) // 4),
tf.int16)
filterbanks = frontend_op.audio_microfrontend(
audio,
sample_rate=SAMPLE_RATE,
window_size=WINDOW_SIZE,
window_step=WINDOW_STEP,
num_channels=NUM_CHANNELS,
upper_band_limit=UPPER_BAND_LIMIT,
lower_band_limit=LOWER_BAND_LIMIT,
smoothing_bits=SMOOTHING_BITS,
enable_pcan=True,
out_scale=64,
out_type=tf.float32)
self.assertAllEqual(filterbanks.eval(),
[[7.484375, 6.640625], [6.8125, 5.90625],
[6.40625, 5.46875], [6.109375, 5.078125]])
def testZeroPadding(self):
with self.test_session():
audio = tf.constant([0, 32767, 0, -32768] *
((WINDOW_SIZE + 7 * WINDOW_STEP) // 4),
tf.int16)
filterbanks = frontend_op.audio_microfrontend(
audio,
sample_rate=SAMPLE_RATE,
window_size=WINDOW_SIZE,
window_step=WINDOW_STEP,
num_channels=NUM_CHANNELS,
upper_band_limit=UPPER_BAND_LIMIT,
lower_band_limit=LOWER_BAND_LIMIT,
smoothing_bits=SMOOTHING_BITS,
enable_pcan=True,
left_context=2,
frame_stride=3,
zero_padding=True)
self.assertAllEqual(
filterbanks.eval(),
[[0, 0, 0, 0, 479, 425], [436, 378, 410, 350, 391, 325],
[374, 308, 362, 292, 352, 275]])