Source code for

    Augmenter that apply speed adjustment operation to audio.

import numpy as np

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

[docs]class SpeedAug(AudioAugmenter): """ :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 tuple factor: Input data speed will be increased (decreased). Augmented value will be picked within the range of this tuple value. Speed will be reduced if value is between 0 and 1. :param tuple speed_range: Deprecated. Use `factor` indeed :param str name: Name of this augmenter >>> import as naa >>> aug = naa.ShiftAug() """ def __init__(self, zone=(0.2, 0.8), coverage=1., factor=(0.5, 2), name='Speed_Aug', verbose=0, stateless=True): super().__init__(action=Action.SUBSTITUTE, name=name, zone=zone, coverage=coverage, factor=factor, device='cpu', verbose=verbose, stateless=stateless) self.model = nma.Speed() def substitute(self, data): speed_level = self.get_random_factor() start_pos, end_pos = self.get_augment_range_by_coverage(data) if not self.stateless: self.start_pos, self.end_pos, self.aug_factor = start_pos, end_pos, speed_level return self.model.manipulate(data, start_pos=start_pos, end_pos=end_pos, speed=speed_level)