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08/25/2023
Decoupled Structure for Improved Adaptability of End-to-End Models
Although end-to-end (E2E) trainable automatic speech recognition (ASR) h...
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02/16/2023
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax
End-to-end (E2E) automatic speech recognition (ASR) implicitly learns th...
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07/06/2022
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies
There is often a trade-off between performance and latency in streaming ...
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04/19/2022
Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation
Although Transformers have gained success in several speech processing t...
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02/22/2022
Improving CTC-based speech recognition via knowledge transferring from pre-trained language models
Recently, end-to-end automatic speech recognition models based on connec...
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01/25/2022
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models
While Transformers have achieved promising results in end-to-end (E2E) a...
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12/14/2021
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model
Recently, self-supervised pretraining has achieved impressive results in...
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09/15/2021