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11/29/2022
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation
The neural transducer is an end-to-end model for automatic speech recogn...
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11/02/2022
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition
This work studies the use of attention masking in transformer transducer...
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10/21/2022
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation
Code-switching describes the practice of using more than one language in...
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02/26/2020
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
This article describes a density ratio approach to integrating external ...
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02/07/2020