enhancementhelp wanted
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説明
Note: this is issue is part of MLH fellowship
We would like to have more speech data augmentation in Fairseq.
I've been using augly which uses a lot of torchaudio.sox_effects, but I haven't been quite happy with the performance.
All the sox_effects happen on CPU, which can be slow.
I think some of them would better be implemented on GPU.
torchaudio tutorial explain how to implement some data augmentation, and their samples would work on GPU.
https://pytorch.org/audio/stable/tutorials/audio_data_augmentation_tutorial.html
I'm interested in reverb, change_volume, add_background_noise, tempo and pitch_shift.