FrequencyMasking

class torchaudio.transforms.FrequencyMasking(freq_mask_param: int, iid_masks: bool = False)

Apply masking to a spectrogram in the frequency domain.

Proposed in SpecAugment [Park et al., 2019].

Parameters:

• freq_mask_param (int) – maximum possible length of the mask. Indices uniformly sampled from [0, freq_mask_param).

• iid_masks (bool, optional) – whether to apply different masks to each example/channel in the batch. (Default: False) This option is applicable only when the input tensor is 4D.

Example

>>> spectrogram = torchaudio.transforms.Spectrogram()
>>> masking = torchaudio.transforms.FrequencyMasking(freq_mask_param=80)
>>>
>>> original = spectrogram(waveform)
>>> masked = masking(original)

Tutorials using FrequencyMasking:

Audio Feature Augmentation

Audio Feature Augmentation