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05/26/2023
External Language Model Integration for Factorized Neural Transducers
We propose an adaptation method for factorized neural transducers (FNT) ...
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09/08/2022
Multilingual Transformer Language Model for Speech Recognition in Low-resource Languages
It is challenging to train and deploy Transformer LMs for hybrid speech ...
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09/27/2021
Factorized Neural Transducer for Efficient Language Model Adaptation
In recent years, end-to-end (E2E) based automatic speech recognition (AS...
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02/02/2021
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
The efficacy of external language model (LM) integration with existing e...
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11/03/2020
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
The external language models (LM) integration remains a challenging task...
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10/21/2020
LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
LSTM language models (LSTM-LMs) have been proven to be powerful and yiel...
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07/30/2020
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability
Because of its streaming nature, recurrent neural network transducer (RN...
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11/11/2019
Long-span language modeling for speech recognition
We explore neural language modeling for speech recognition where the con...
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03/12/2018
