Augmenter that apply vocal tract length perturbation (VTLP) operation to audio.
VtlpAug(sampling_rate, zone=(0.2, 0.8), coverage=0.1, fhi=4800, factor=(0.9, 1.1), name='Vtlp_Aug', verbose=0, stateless=True)¶
- zone (tuple) – 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.
- coverage (float) – 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.
- factor (tuple) – Input data vocal will be increased (decreased). Augmented value will be picked within the range of this tuple value. Vocal will be reduced if value is between 0 and 1.
- fhi (int) – Boundary frequency. Default value is 4800.
- name (str) – Name of this augmenter
>>> import nlpaug.augmenter.audio as naa >>> aug = naa.VtlpAug()
augment(data, n=1, num_thread=1)¶
- data (object/list) – Data for augmentation. It can be list of data (e.g. list of string or numpy) or single element (e.g. string or numpy). Numpy format only supports audio or spectrogram data. For text data, only support string or list of string.
- n (int) – Default is 1. Number of unique augmented output. Will be force to 1 if input is list of data
- num_thread (int) – Number of thread for data augmentation. Use this option when you are using CPU and n is larger than 1
>>> augmented_data = aug.augment(data)