-
Notifications
You must be signed in to change notification settings - Fork 660
/
sox_effect_test.py
221 lines (184 loc) · 8.86 KB
/
sox_effect_test.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
import itertools
from torchaudio import sox_effects
from parameterized import parameterized
from torchaudio_unittest.common_utils import (
TempDirMixin,
PytorchTestCase,
skipIfNoExtension,
get_sinusoid,
get_wav_data,
save_wav,
load_wav,
sox_utils,
)
from .common import (
load_params,
name_func,
)
@skipIfNoExtension
class TestSoxEffects(PytorchTestCase):
def test_init(self):
"""Calling init_sox_effects multiple times does not crush"""
for _ in range(3):
sox_effects.init_sox_effects()
@skipIfNoExtension
class TestSoxEffectsTensor(TempDirMixin, PytorchTestCase):
"""Test suite for `apply_effects_tensor` function"""
@parameterized.expand(list(itertools.product(
['float32', 'int32', 'int16', 'uint8'],
[8000, 16000],
[1, 2, 4, 8],
[True, False]
)), name_func=name_func)
def test_apply_no_effect(self, dtype, sample_rate, num_channels, channels_first):
"""`apply_effects_tensor` without effects should return identical data as input"""
original = get_wav_data(dtype, num_channels, channels_first=channels_first)
expected = original.clone()
found, output_sample_rate = sox_effects.apply_effects_tensor(
expected, sample_rate, [], channels_first)
assert output_sample_rate == sample_rate
# SoxEffect should not alter the input Tensor object
self.assertEqual(original, expected)
# SoxEffect should not return the same Tensor object
assert expected is not found
# Returned Tensor should equal to the input Tensor
self.assertEqual(expected, found)
@parameterized.expand(
load_params("sox_effect_test_args.json"),
name_func=lambda f, i, p: f'{f.__name__}_{i}_{p.args[0]["effects"][0][0]}',
)
def test_apply_effects(self, args):
"""`apply_effects_tensor` should return identical data as sox command"""
effects = args['effects']
num_channels = args.get("num_channels", 2)
input_sr = args.get("input_sample_rate", 8000)
output_sr = args.get("output_sample_rate")
input_path = self.get_temp_path('input.wav')
reference_path = self.get_temp_path('reference.wav')
original = get_sinusoid(
frequency=800, sample_rate=input_sr,
n_channels=num_channels, dtype='float32')
save_wav(input_path, original, input_sr)
sox_utils.run_sox_effect(
input_path, reference_path, effects, output_sample_rate=output_sr)
expected, expected_sr = load_wav(reference_path)
found, sr = sox_effects.apply_effects_tensor(original, input_sr, effects)
assert sr == expected_sr
self.assertEqual(expected, found)
@skipIfNoExtension
class TestSoxEffectsFile(TempDirMixin, PytorchTestCase):
"""Test suite for `apply_effects_file` function"""
@parameterized.expand(list(itertools.product(
['float32', 'int32', 'int16', 'uint8'],
[8000, 16000],
[1, 2, 4, 8],
[False, True],
)), name_func=name_func)
def test_apply_no_effect(self, dtype, sample_rate, num_channels, channels_first):
"""`apply_effects_file` without effects should return identical data as input"""
path = self.get_temp_path('input.wav')
expected = get_wav_data(dtype, num_channels, channels_first=channels_first)
save_wav(path, expected, sample_rate, channels_first=channels_first)
found, output_sample_rate = sox_effects.apply_effects_file(
path, [], normalize=False, channels_first=channels_first)
assert output_sample_rate == sample_rate
self.assertEqual(expected, found)
@parameterized.expand(
load_params("sox_effect_test_args.json"),
name_func=lambda f, i, p: f'{f.__name__}_{i}_{p.args[0]["effects"][0][0]}',
)
def test_apply_effects(self, args):
"""`apply_effects_file` should return identical data as sox command"""
dtype = 'int32'
channels_first = True
effects = args['effects']
num_channels = args.get("num_channels", 2)
input_sr = args.get("input_sample_rate", 8000)
output_sr = args.get("output_sample_rate")
input_path = self.get_temp_path('input.wav')
reference_path = self.get_temp_path('reference.wav')
data = get_wav_data(dtype, num_channels, channels_first=channels_first)
save_wav(input_path, data, input_sr, channels_first=channels_first)
sox_utils.run_sox_effect(
input_path, reference_path, effects, output_sample_rate=output_sr)
expected, expected_sr = load_wav(reference_path)
found, sr = sox_effects.apply_effects_file(
input_path, effects, normalize=False, channels_first=channels_first)
assert sr == expected_sr
self.assertEqual(found, expected)
@skipIfNoExtension
class TestFileFormats(TempDirMixin, PytorchTestCase):
"""`apply_effects_file` gives the same result as sox on various file formats"""
@parameterized.expand(list(itertools.product(
['float32', 'int32', 'int16', 'uint8'],
[8000, 16000],
[1, 2],
)), name_func=lambda f, _, p: f'{f.__name__}_{"_".join(str(arg) for arg in p.args)}')
def test_wav(self, dtype, sample_rate, num_channels):
"""`apply_effects_file` works on various wav format"""
channels_first = True
effects = [['band', '300', '10']]
input_path = self.get_temp_path('input.wav')
reference_path = self.get_temp_path('reference.wav')
data = get_wav_data(dtype, num_channels, channels_first=channels_first)
save_wav(input_path, data, sample_rate, channels_first=channels_first)
sox_utils.run_sox_effect(input_path, reference_path, effects)
expected, expected_sr = load_wav(reference_path)
found, sr = sox_effects.apply_effects_file(
input_path, effects, normalize=False, channels_first=channels_first)
assert sr == expected_sr
self.assertEqual(found, expected)
@parameterized.expand(list(itertools.product(
[8000, 16000],
[1, 2],
)), name_func=lambda f, _, p: f'{f.__name__}_{"_".join(str(arg) for arg in p.args)}')
def test_mp3(self, sample_rate, num_channels):
"""`apply_effects_file` works on various mp3 format"""
channels_first = True
effects = [['band', '300', '10']]
input_path = self.get_temp_path('input.mp3')
reference_path = self.get_temp_path('reference.wav')
sox_utils.gen_audio_file(input_path, sample_rate, num_channels)
sox_utils.run_sox_effect(input_path, reference_path, effects)
expected, expected_sr = load_wav(reference_path)
found, sr = sox_effects.apply_effects_file(
input_path, effects, channels_first=channels_first)
save_wav(self.get_temp_path('result.wav'), found, sr, channels_first=channels_first)
assert sr == expected_sr
self.assertEqual(found, expected, atol=1e-4, rtol=1e-8)
@parameterized.expand(list(itertools.product(
[8000, 16000],
[1, 2],
)), name_func=lambda f, _, p: f'{f.__name__}_{"_".join(str(arg) for arg in p.args)}')
def test_flac(self, sample_rate, num_channels):
"""`apply_effects_file` works on various flac format"""
channels_first = True
effects = [['band', '300', '10']]
input_path = self.get_temp_path('input.flac')
reference_path = self.get_temp_path('reference.wav')
sox_utils.gen_audio_file(input_path, sample_rate, num_channels)
sox_utils.run_sox_effect(input_path, reference_path, effects, output_bitdepth=32)
expected, expected_sr = load_wav(reference_path)
found, sr = sox_effects.apply_effects_file(
input_path, effects, channels_first=channels_first)
save_wav(self.get_temp_path('result.wav'), found, sr, channels_first=channels_first)
assert sr == expected_sr
self.assertEqual(found, expected)
@parameterized.expand(list(itertools.product(
[8000, 16000],
[1, 2],
)), name_func=lambda f, _, p: f'{f.__name__}_{"_".join(str(arg) for arg in p.args)}')
def test_vorbis(self, sample_rate, num_channels):
"""`apply_effects_file` works on various vorbis format"""
channels_first = True
effects = [['band', '300', '10']]
input_path = self.get_temp_path('input.vorbis')
reference_path = self.get_temp_path('reference.wav')
sox_utils.gen_audio_file(input_path, sample_rate, num_channels)
sox_utils.run_sox_effect(input_path, reference_path, effects, output_bitdepth=32)
expected, expected_sr = load_wav(reference_path)
found, sr = sox_effects.apply_effects_file(
input_path, effects, channels_first=channels_first)
save_wav(self.get_temp_path('result.wav'), found, sr, channels_first=channels_first)
assert sr == expected_sr
self.assertEqual(found, expected)