def test_keep_or_kill(self):
sr = 256
low = pure_tone(10, sr)
mid = pure_tone(40, sr)
high = pure_tone(100, sr)
x = low + mid + high
decomp = split_bands(x, sr, cutoffs=[20, 70])
self.assertEqual(len(decomp), 3)
for est, gt, name in zip(decomp, [low, mid, high], ["low", "mid", "high"]):
self.assertSimilar(est, gt, gt, name)
def test_keep_or_kill(self):
for _ in range(10):
freq = random.uniform(0.01, 0.4)
sr = 1024
tone = pure_tone(freq * sr, sr=sr, dur=10)
# For this test we accept 5% tolerance in amplitude, or -26dB in power.
tol = 5
zeros = 16
# If cutoff frequency is under freq, output should be input
y_pass = filters.highpass_filter(tone, 0.9 * freq, zeros=zeros)
self.assertSimilar(y_pass,
tone,
tone,
f"freq={freq}, pass",
tol=tol)
# If cutoff frequency is over freq, output should be zero
y_killed = filters.highpass_filter(tone, 1.1 * freq, zeros=zeros)
self.assertSimilar(y_killed,
0 * tone,
tone,
f"freq={freq}, kill",
tol=tol)
def test_keep_or_kill(self):
for _ in range(10):
freq = random.uniform(0.01, 0.4)
sr = 1024
tone = pure_tone(freq * sr, sr=sr, dur=10)
# For this test we accept 5% tolerance, as 5% of delta in amplitude is -52dB.
tol = 5
zeros = 16
# If cutoff freauency is under freq, output should be zero
y_killed = lowpass_filter(tone, 0.9 * freq, zeros=zeros)
self.assertSimilar(y_killed,
0 * y_killed,
tone,
f"freq={freq}, kill",
tol=tol)
# If cutoff freauency is under freq, output should be input
y_pass = lowpass_filter(tone, 1.1 * freq, zeros=zeros)
self.assertSimilar(y_pass,
tone,
tone,
f"freq={freq}, pass",
tol=tol)
def test(table, freq, zeros, fft=None, device="cpu"):
sr = 44_100
attns = []
for ratio in [0.9, 1, 1.1]:
x = pure_tone(ratio * freq * sr, sr, 4, device=device)
with Chrono() as chrono:
y = lowpass_filter(x, freq, fft=fft, zeros=zeros)
attns.append(format(volume(y) - volume(x), ".2f"))
table.line([freq] + attns + [int(1000 * chrono.duration)])
def test_keep_or_kill(self):
for _ in range(10):
freq = random.uniform(0.01, 0.4)
sr = 1024
tone = pure_tone(freq * sr, sr=sr, dur=10)
# For this test we accept 5% tolerance in amplitude, or -26dB in power.
tol = 5
zeros = 16
y_pass = filters.bandpass_filter(tone,
0.9 * freq,
1.1 * freq,
zeros=zeros)
self.assertSimilar(y_pass,
tone,
tone,
f"freq={freq}, pass",
tol=tol)
y_killed = filters.bandpass_filter(tone,
1.1 * freq,
1.2 * freq,
zeros=zeros)
self.assertSimilar(y_killed,
0 * tone,
tone,
f"freq={freq}, kill",
tol=tol)
y_killed = filters.bandpass_filter(tone,
0.8 * freq,
0.9 * freq,
zeros=zeros)
self.assertSimilar(y_killed,
0 * tone,
tone,
f"freq={freq}, kill",
tol=tol)