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Found 3 papers, 1 papers with code
pMCT: Patched Multi-Condition Training for Robust Speech Recognition
For analyses on robust ASR, we employed pMCT on the VOiCES dataset which is a noisy reverberant dataset created using utterances from LibriSpeech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
FedNST: Federated Noisy Student Training for Automatic Speech Recognition
To this end, we propose FedNST, a novel method for training distributed ASR models using private and unlabelled user data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Neural Concept Formation in Knowledge Graphs
In this work, we investigate how to learn novel concepts in Knowledge Graphs (KGs) in a principled way, and how to effectively exploit them to produce more accurate neural link prediction models.
