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Haoran Miao

2 accepted papers

2021

History Utterance Embedding Transformer LM for Speech Recognition

ICASSP 2021accepted

History utterances contain rich contextual information; however, better extracting information from the history utterances and using it to improve the language model (LM) is still challenging. In this paper, we propose the history utterance embedding Transformer LM (HTLM), which includes an embeddin…

Cited by 0SourceScholar
2020

Transformer-Based Online CTC/Attention End-To-End Speech Recognition Architecture

ICASSP 2020accepted

Recently, Transformer has gained success in automatic speech recognition (ASR) field. However, it is challenging to deploy a Transformer-based end-to-end (E2E) model for online speech recognition. In this paper, we propose the Transformer-based online CTC/attention E2E ASR architecture, which contai…

Cited by 0SourceScholar