def compose_augmentations(rir_path):
impulse_path = os.path.join(rir_path, 'simulated_rirs')
noise_path = os.path.join(rir_path, 'pointsource_noises')
if not (os.path.exists(impulse_path) and os.path.exists(noise_path)):
raise ValueError(
'Unable to augment signal, rir_path "{}" does not exist.'.format(
rir_path))
return Compose([
AddGaussianSNR(min_SNR=0.2, max_SNR=0.5, p=0.5),
AddImpulseResponse(impulse_path, leave_length_unchanged=True, p=0.3),
AddBackgroundNoise(noise_path, p=0.3),
AddShortNoises(noise_path, max_snr_in_db=80, p=0.3)
])
"num_runs":
5,
},
{
"instance":
AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=1.0),
"num_runs":
5,
},
{
"instance": AddGaussianSNR(p=1.0),
"num_runs": 5
},
{
"instance":
AddImpulseResponse(p=1.0, ir_path=os.path.join(DEMO_DIR, "ir")),
"num_runs":
1,
},
{
"instance":
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_snr_in_db=0,
max_snr_in_db=8,
min_time_between_sounds=2.0,
max_time_between_sounds=4.0,
burst_probability=0.4,
min_pause_factor_during_burst=0.01,
max_pause_factor_during_burst=0.95,
min_fade_in_time=0.005,
def generate(self, wave_file, output_dir):
"""
For each transformation, apply it to an example sound and write the transformed sounds to
an output folder.
"""
samples = load_wav_file(wave_file)
_filename = os.path.basename(wave_file).split('.')[0]
# AddImpulseResponse
if self.AddImpulseResponse[0]:
augmenter = Compose([
AddImpulseResponse(p=1.0, ir_path=os.path.join(DEMO_DIR, "ir"))
])
output_file_path = os.path.join(
output_dir,
_filename + "_AddImpulseResponse{:03d}.wav".format(0))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# FrequencyMask
if self.FrequencyMask[0]:
augmenter = Compose([FrequencyMask(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_FrequencyMask{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# TimeMask
if self.TimeMask[0]:
augmenter = Compose([TimeMask(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, _filename + "_TimeMask{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddGaussianSNR
if self.AddGaussianSNR[0]:
augmenter = Compose([AddGaussianSNR(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_AddGaussianSNR{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddGaussianNoise
if self.AddGaussianNoise[0]:
augmenter = Compose([
AddGaussianNoise(min_amplitude=0.001,
max_amplitude=0.015,
p=1.0)
])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_AddGaussianNoise{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# TimeStretch
if self.TimeStretch[0]:
augmenter = Compose(
[TimeStretch(min_rate=0.5, max_rate=1.5, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, _filename + "_TimeStretch{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# PitchShift
if self.PitchShift[0]:
augmenter = Compose(
[PitchShift(min_semitones=-6, max_semitones=12, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, _filename + "_PitchShift{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Shift
if self.Shift[0]:
augmenter = Compose(
[Shift(min_fraction=-0.5, max_fraction=0.5, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, _filename + "_Shift{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Shift without rollover
if self.ShiftWithoutRoll[0]:
augmenter = Compose([
Shift(min_fraction=-0.2,
max_fraction=0.2,
rollover=False,
p=1.0)
])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_ShiftWithoutRollover{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Normalize
if self.Normalize[0]:
augmenter = Compose([Normalize(p=1.0)])
output_file_path = os.path.join(
output_dir, _filename + "_Normalize{:03d}.wav".format(0))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Resample
if self.Resample[0]:
augmenter = Compose([
Resample(min_sample_rate=12000, max_sample_rate=44100, p=1.0)
])
for i in range(5):
output_file_path = os.path.join(
output_dir, _filename + "_Resample{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# ClippingDistortion
if self.ClippingDistortion[0]:
augmenter = Compose(
[ClippingDistortion(max_percentile_threshold=10, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_ClippingDistortion{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddBackgroundNoise
if self.AddBackgroundNoise[0]:
augmenter = Compose([
AddBackgroundNoise(sounds_path=os.path.join(
DEMO_DIR, "background_noises"),
p=1.0)
])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_AddBackgroundNoise{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddWhiteNoise
if self.AddWhiteNoise[0]:
augmenter = Compose([
AddBackgroundNoise(sounds_path=os.path.join(
DEMO_DIR, "white_noises"),
p=1.0)
])
for i in range(self.AddWhiteNoise[1]):
output_file_path = os.path.join(
output_dir,
_filename + "_AddWhiteNoise{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddPinkNoise
if self.AddPinkNoise[0]:
augmenter = Compose([
AddBackgroundNoise(sounds_path=os.path.join(
DEMO_DIR, "pink_noises"),
p=1.0)
])
for i in range(self.AddPinkNoise[1]):
output_file_path = os.path.join(
output_dir,
_filename + "_AddPinkNoise{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddShortNoises
if self.AddShortNoises[0]:
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_snr_in_db=0,
max_snr_in_db=8,
min_time_between_sounds=2.0,
max_time_between_sounds=4.0,
burst_probability=0.4,
min_pause_factor_during_burst=0.01,
max_pause_factor_during_burst=0.95,
min_fade_in_time=0.005,
max_fade_in_time=0.08,
min_fade_out_time=0.01,
max_fade_out_time=0.1,
p=1.0,
)
])
for i in range(5):
output_file_path = os.path.join(
output_dir,
_filename + "_AddShortNoises{:03d}.wav".format(i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
"num_runs":
5,
},
{
"instance":
AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=1.0),
"num_runs":
5,
},
{
"instance": AddGaussianSNR(p=1.0),
"num_runs": 5
},
{
"instance":
AddImpulseResponse(p=1.0, ir_path=os.path.join(DEMO_DIR, "ir")),
"num_runs":
1,
},
{
"instance":
AddImpulseResponse(p=1.0,
ir_path=os.path.join(DEMO_DIR, "ir"),
leave_length_unchanged=True),
"num_runs":
1,
"name":
"AddImpulseResponseLeaveLengthUnchanged",
},
{
"instance":
def transform(file_path, output_folder, iterations):
"""
For each transformation, apply it to an example sound and write the transformed sounds to
an output folder.
"""
samples = load_wav_file(file_path)
file_name = os.path.basename(file_path).replace('.wav', '')
def produce(augmenter, name):
for i in range(iterations):
output_file_path = '{}/{}'.format(
output_folder, "{}_{}_{}.wav".format(name, file_name, i))
augmented_samples = augmenter(samples=samples,
sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# TimeMask
augmenter = Compose([TimeMask(p=1.0)])
produce(augmenter, 'TimeMask')
# FrequencyMask
augmenter = Compose([FrequencyMask(p=1.0)])
produce(augmenter, 'FrequencyMask')
# AddGaussianSNR
augmenter = Compose([AddGaussianSNR(p=1.0)])
produce(augmenter, 'AddGaussianSNR')
# PitchShift
augmenter = Compose([PitchShift(min_semitones=-4, max_semitones=4, p=1.0)])
produce(augmenter, 'PitchShift')
# TimeStretch
augmenter = Compose([TimeStretch(min_rate=0.8, max_rate=1.25, p=0.5)])
produce(augmenter, 'TimeStretch')
# AddGaussianNoise
augmenter = Compose(
[AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=1.0)])
produce(augmenter, 'AddGaussianNoise')
# Shift
augmenter = Compose([Shift(min_fraction=-0.5, max_fraction=0.5, p=1.0)])
produce(augmenter, 'Shift')
# Shift without rollover
augmenter = Compose(
[Shift(min_fraction=-0.5, max_fraction=0.5, rollover=False, p=1.0)])
produce(augmenter, 'Shift without rollover')
# Normalize
augmenter = Compose([Normalize(p=1.0)])
produce(augmenter, 'Normalize')
# AddImpulseResponse
augmenter = Compose(
[AddImpulseResponse(p=1.0, ir_path=os.path.join(DEMO_DIR, "ir"))])
produce(augmenter, 'AddImpulseResponse')
# Resample
augmenter = Compose([Resample(p=1.0)])
produce(augmenter, 'Resample')
# ClippingDistortion
augmenter = Compose([ClippingDistortion(p=1.0)])
produce(augmenter, 'ClippingDistortion')
# AddBackgroundNoise
augmenter = Compose([
AddBackgroundNoise(sounds_path=os.path.join(DEMO_DIR,
"background_noises"),
p=1.0)
])
produce(augmenter, 'AddBackgroundNoise')
# AddShortNoises
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_snr_in_db=0,
max_snr_in_db=8,
min_time_between_sounds=2.0,
max_time_between_sounds=4.0,
burst_probability=0.4,
min_pause_factor_during_burst=0.01,
max_pause_factor_during_burst=0.95,
min_fade_in_time=0.005,
max_fade_in_time=0.08,
min_fade_out_time=0.01,
max_fade_out_time=0.1,
p=1.0,
)
])
produce(augmenter, 'AddShortNoises')
def applyTransformations(fileName, output_dir, auxiliarSoundsDir):
name = fileName.split(".")[0].split("/")[-1]
samples = load_wav_file(fileName)
# AddImpulseResponse
augmenter = Compose([
AddImpulseResponse(p=1.0,
ir_path=os.path.join(auxiliarSoundsDir,
"helperSounds/ir"))
])
output_file_path = os.path.join(
output_dir, "{}_AddImpulseResponse_{:03d}.wav".format(name, 0))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path, rate=SAMPLE_RATE, data=augmented_samples)
# FrequencyMask
augmenter = Compose([FrequencyMask(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_FrequencyMask_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# TimeMask
augmenter = Compose([TimeMask(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_TimeMask_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddGaussianSNR
augmenter = Compose([AddGaussianSNR(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_AddGaussianSNR_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddGaussianNoise
augmenter = Compose(
[AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_AddGaussianNoise_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# TimeStretch
augmenter = Compose([TimeStretch(min_rate=0.8, max_rate=1.25, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_TimeStretch_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# PitchShift
augmenter = Compose([PitchShift(min_semitones=-4, max_semitones=4, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_itchShift_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Shift
augmenter = Compose([Shift(min_fraction=-0.5, max_fraction=0.5, p=1.0)])
for i in range(5):
output_file_path = os.path.join(output_dir,
"{}_Shift_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Shift without rollover
augmenter = Compose(
[Shift(min_fraction=-0.5, max_fraction=0.5, rollover=False, p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_ShiftWithoutRollover_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# Normalize
augmenter = Compose([Normalize(p=1.0)])
output_file_path = os.path.join(output_dir,
"{}_Normalize_{:03d}.wav".format(name, 0))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path, rate=SAMPLE_RATE, data=augmented_samples)
# ClippingDistortion
augmenter = Compose([ClippingDistortion(p=1.0)])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_ClippingDistortion_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddBackgroundNoise
augmenter = Compose([
AddBackgroundNoise(sounds_path=os.path.join(
auxiliarSoundsDir, "helperSounds/background_noises"),
p=1.0)
])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_AddBackgroundNoise_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)
# AddShortNoises
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(auxiliarSoundsDir,
"helperSounds/short_noises"),
min_snr_in_db=0,
max_snr_in_db=8,
min_time_between_sounds=2.0,
max_time_between_sounds=4.0,
burst_probability=0.4,
min_pause_factor_during_burst=0.01,
max_pause_factor_during_burst=0.95,
min_fade_in_time=0.005,
max_fade_in_time=0.08,
min_fade_out_time=0.01,
max_fade_out_time=0.1,
p=1.0,
)
])
for i in range(5):
output_file_path = os.path.join(
output_dir, "{}_AddShortNoises_{:03d}.wav".format(name, i))
augmented_samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)
wavfile.write(output_file_path,
rate=SAMPLE_RATE,
data=augmented_samples)