Source code for

    Augmenter that apply mask operation to audio.

from import AudioAugmenter
import as nma
from nlpaug.util import Action, WarningMessage

[docs]class MaskAug(AudioAugmenter): """ :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 `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. 42 seconds ((0.8-0.2)*0.7*60) audio will be augmented. :param int duration: Duration of augmentation (in second). Default value is None. If value is provided. `coverage` value will be ignored. :param bool mask_with_noise: If it is True, targeting area will be replaced by noise. Otherwise, it will be replaced by 0. :param str name: Name of this augmenter >>> import as naa >>> aug = naa.MaskAug(sampling_rate=44010) """ def __init__(self, sampling_rate=None, zone=(0.2, 0.8), coverage=1., duration=None, mask_with_noise=True, name='Mask_Aug', verbose=0, stateless=True): super().__init__( action=Action.SUBSTITUTE, zone=zone, coverage=coverage, duration=duration, name=name, device='cpu', verbose=verbose, stateless=stateless) self.mask_with_noise = mask_with_noise self.model = nma.Mask() def substitute(self, data): start_pos, end_pos = self.get_augment_range_by_coverage(data) if not self.stateless: self.start_pos, self.end_pos = start_pos, end_pos return self.model.manipulate(data, start_pos=start_pos, end_pos=end_pos, mask_with_noise=self.mask_with_noise)