`TimeMask`

Added in v0.7.0

Make a randomly chosen part of the audio silent. Inspired by https://arxiv.org/pdf/1904.08779.pdf

Input-output example

Here we silence a part of a speech recording.

Input-output waveforms and spectrograms

Input sound	Transformed sound

Usage example

from audiomentations import TimeMask

transform = TimeMask(
    min_band_part=0.1,
    max_band_part=0.15,
    fade=True,
    p=1.0,
)

augmented_sound = transform(my_waveform_ndarray, sample_rate=16000)

TimeMask API

min_band_part: float • range: [0.0, 1.0]: Default: 0.0. Minimum length of the silent part as a fraction of the total sound length.
max_band_part: float • range: [0.0, 1.0]: Default: 0.5. Maximum length of the silent part as a fraction of the total sound length.
fade: bool: Default: False. When set to True, a linear fade-in and fade-out is added to the silent part. This can smooth out unwanted abrupt changes between consecutive samples, which might otherwise sound like transients/clicks/pops.
p: float • range: [0.0, 1.0]: Default: 0.5. The probability of applying this transform.

Source code

audiomentations/augmentations/time_mask.py