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20202023
most citedN-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space

27 citations · 72 across the 11 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

Zero-shot Audio Topic Reranking using Large Language Models

Mengjie Qian, Rao Ma, Adian Liusie +3

Multimodal Video Search by Examples (MVSE) investigates using video clips as the query term for information retrieval, rather than the more traditional text query. This enables far…

cs.CL2023★ 8 cited

Adapting an ASR Foundation Model for Spoken Language Assessment

Rao Ma, Mengjie Qian, Mark J. F. Gales +1

A crucial part of an accurate and reliable spoken language assessment system is the underlying ASR model. Recently, large-scale pre-trained ASR foundation models such as Whisper ha…

cs.CL2023★ 7 cited

Can Generative Large Language Models Perform ASR Error Correction?

Rao Ma, Mengjie Qian, Potsawee Manakul +2

ASR error correction is an interesting option for post processing speech recognition system outputs. These error correction models are usually trained in a supervised fashion using…

eess.AS2023★ 4 cited

Adapting an Unadaptable ASR System

Rao Ma, Mengjie Qian, Mark J. F. Gales +1

As speech recognition model sizes and training data requirements grow, it is increasingly common for systems to only be available via APIs from online service providers rather than…

cs.CL2023★ 27 cited

N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space

Rao Ma, Mark J. F. Gales, Kate M. Knill +1

Error correction models form an important part of Automatic Speech Recognition (ASR) post-processing to improve the readability and quality of transcriptions. Most prior works use…