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09/07/2023
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems
Transferring the knowledge of large language models (LLMs) is a promisin...
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04/01/2022
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems
Large-scale language models (LLMs) such as GPT-2, BERT and RoBERTa have ...
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03/29/2022
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing
We introduce two techniques, length perturbation and n-best based label ...
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12/16/2021
Knowledge Distillation Leveraging Alternative Soft Targets from Non-Parallel Qualified Speech Data
This paper describes a novel knowledge distillation framework that lever...
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04/08/2021
RNN Transducer Models For Spoken Language Understanding
We present a comprehensive study on building and adapting RNN transducer...
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09/30/2020
End-to-End Spoken Language Understanding Without Full Transcripts
An essential component of spoken language understanding (SLU) is slot fi...
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04/30/2019
English Broadcast News Speech Recognition by Humans and Machines
With recent advances in deep learning, considerable attention has been g...
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04/17/2019
Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation
Conventional automatic speech recognition (ASR) systems trained from fra...
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09/19/2017
Language Modeling with Highway LSTM
Language models (LMs) based on Long Short Term Memory (LSTM) have shown ...
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03/06/2017
English Conversational Telephone Speech Recognition by Humans and Machines
One of the most difficult speech recognition tasks is accurate recogniti...
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01/07/2016
