Sep 23, 2021 · We call this technique ChannelAugment, in contrast to SpecAugment (SA) which drops time and/or frequency components of a single channel input ...

This work presents a simple and effective data augmentation technique, which is based on randomly dropping channels in the multi-channel audio input during ...

In this paper, we analyzed how audiovisual speech enhancement can help to perform the ASR task in a cocktail party scenario. Therefore we considered two simple ...

ChannelAugment: improving generalization of multi-channel ASR by training with input channel randomization. Description: To appear in ASRU 2021.

To address this, we present a simple and effective data augmentation technique, which is based on randomly dropping channels in the multi-channel audio input ...

To address this, we present a simple and effective data augmentation technique, which is based on randomly dropping channels in the multi-channel audio input ...

Dec 8, 2021 · In summary, the ChannelAugment technique can be easily applied to multi-channel end-to-end ASR model during training, improving robustness to ...

ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization · no code implementations • 23 Sep 2021 • Marco ...

To address this, we present a simple and effective data augmentation technique, which is based on randomly dropping channels in the multi-channel audio input ...

Apr 25, 2024 · ChannelAugment: Improving Generalization of Multi-Channel ASR by Training with Input Channel Randomization. ASRU 2021: 824-829. [i3]. view.