Search Results for author:
Found 6 papers, 1 papers with code
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
Nowadays, most methods in end-to-end contextual speech recognition bias the recognition process towards contextual knowledge.
Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results.
A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks
For further improving the capacity and reliability of optical networks, a closed-loop autonomous architecture is preferred.
Improving RNN transducer with normalized jointer network
In this work, we analyze the cause of the huge gradient variance in RNN-T training and proposed a new \textit{normalized jointer network} to overcome it.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Dynamic latency speech recognition with asynchronous revision
In this work we propose an inference technique, asynchronous revision, to unify streaming and non-streaming speech recognition models.
Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks
In this paper, we present the application of machine learning (ML) in NLI modeling and monitoring.
