Augmenter that apply cropping operation to audio.
from nlpaug.augmenter.audio import AudioAugmenter
import nlpaug.model.audio as nma
from nlpaug.util import Action, WarningMessage
:param int sampling_rate: Sampling rate of input audio. Mandatory if duration is provided.
:param tuple zone: Assign a zone for augmentation. Default value is (0.2, 0.8) which means that no any
augmentation will be applied in first 20% and last 20% of whole audio.
:param float coverage: Portion of augmentation. Value should be between 0 and 1. If `0.1` is assigned, augment
operation will be applied to target audio segment. For example, the audio duration is 60 seconds while
zone and coverage are (0.2, 0.8) and 0.7 respectively. 25.2 seconds ((0.8-0.2)*0.7*60) audio will be
:param int duration: Duration of augmentation (in second). Default value is None. If value is provided. `coverage`
value will be ignored.
:param str name: Name of this augmenter
>>> import nlpaug.augmenter.audio as naa
>>> aug = naa.CropAug(sampling_rate=44010)
def __init__(self, sampling_rate=None, zone=(0.2, 0.8), coverage=0.1, duration=None, name='Crop_Aug',
action=Action.DELETE, zone=zone, coverage=coverage, duration=duration, name=name,
device='cpu', verbose=verbose, stateless=stateless)
self.sampling_rate = sampling_rate
self.model = nma.Crop()
def delete(self, data):
if self.duration is None:
start_pos, end_pos = self.get_augment_range_by_coverage(data)
start_pos, end_pos = self.get_augment_range_by_duration(data)
if not self.stateless:
self.start_pos = start_pos
self.end_pos = end_pos
return self.model.manipulate(data, start_pos=start_pos, end_pos=end_pos)