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Found 4 papers, 1 papers with code
MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition
In this paper, we present MixRep, a simple and effective data augmentation strategy based on mixup for low-resource ASR.
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
In this work, we propose the use of an adaptive masking approach in two scenarios for pruning a multilingual ASR model efficiently, each resulting in sparse monolingual models or a sparse multilingual model (named as Dynamic ASR Pathways).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
DEFORMER: Coupling Deformed Localized Patterns with Global Context for Robust End-to-end Speech Recognition
Convolutional neural networks (CNN) have improved speech recognition performance greatly by exploiting localized time-frequency patterns.
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition
As such, we further propose a feature refinement loss for decorrelation to efficiently combine the set of input features.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
