Kate Knill

Kate Knill

University of Cambridge

H-index: 27

Europe-United Kingdom

About Kate Knill

Kate Knill, With an exceptional h-index of 27 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Speech technology, interactive technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards end-to-end spoken grammatical error correction

Can GPT-4 do L2 analytic assessment?

Automatic Assessment of Conversational Speaking Tests

Can generative large language models perform asr error correction?

Annotation of L2 English Speech for Developing and Evaluating End-to-End Spoken Grammatical Error Correction

Investigating the Emergent Audio Classification Ability of ASR Foundation Models

Camchoice: A corpus of multiple choice questions and candidate response distributions

Speak & Improve: L2 English Speaking Practice Tool

Kate Knill Information

University

Position

___

Citations(all)

2563

Citations(since 2020)

1121

Cited By

1995

hIndex(all)

27

hIndex(since 2020)

17

i10Index(all)

56

i10Index(since 2020)

35

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Kate Knill Skills & Research Interests

Speech technology

interactive technology

Top articles of Kate Knill

Title

Journal

Author(s)

Publication Date

Towards end-to-end spoken grammatical error correction

Stefano Bannò

Rao Ma

Mengjie Qian

Kate M Knill

Mark JF Gales

2024/4/14

Can GPT-4 do L2 analytic assessment?

arXiv preprint arXiv:2404.18557

Stefano Bannò

Hari Krishna Vydana

Kate M Knill

Mark JF Gales

2024/4/29

Automatic Assessment of Conversational Speaking Tests

Proceedings of 9th Workshop on Speech and Language Technology in Education (SLaTE)

Simon W McKnight

Arda Civelekoglu

Mark JF Gales

Stefano Bannò

Adian Liusie

...

2023/8/19

Can generative large language models perform asr error correction?

arXiv preprint arXiv:2307.04172

Rao Ma

Mengjie Qian

Potsawee Manakul

Mark Gales

Kate Knill

2023/7/9

Annotation of L2 English Speech for Developing and Evaluating End-to-End Spoken Grammatical Error Correction

Katherine M Knill

Diane Nicholls

Mark JF Gales

Pawel Stroinski

Alex Watkinson

2023/8/18

Investigating the Emergent Audio Classification Ability of ASR Foundation Models

arXiv preprint arXiv:2311.09363

Rao Ma

Adian Liusie

Mark JF Gales

Kate M Knill

2023/11/15

Camchoice: A corpus of multiple choice questions and candidate response distributions

arXiv preprint arXiv:2306.13047

Adian Liusie

Vatsal Raina

Andrew Mullooly

Kate Knill

Mark JF Gales

2023/6/22

Speak & Improve: L2 English Speaking Practice Tool

Diane Nicholls

Kate Knill

Mark JF Gales

Anton Ragni

Paul Ricketts

2023/8/14

Acoustic-to-Articulatory Inversion for Pronunciation Training

Charles McGhee

Kate Knill

Mark Gales

2023/11/7

Adapting an unadaptable asr system

Proc. INTERSPEECH

Rao Ma

Mengjie Qian

Mark JF Gales

Kate M Knill

2023/8/20

Entity Resolution in Situated Dialog with Unimodal and Multimodal Transformers

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Alejandro Santorum Varela

Svetlana Stoyanchev

Simon Keizer

Rama Doddipatla

Kate Knill

2023/8/11

Zero-shot Audio Topic Reranking using Large Language Models

arXiv preprint arXiv:2309.07606

Mengjie Qian

Rao Ma

Adian Liusie

Erfan Loweimi

Kate M Knill

...

2023/9/14

N-best T5: Robust ASR error correction using multiple input hypotheses and constrained decoding space

Proc. INTERSPEECH

Rao Ma

Mark JF Gales

Kate Knill

Mengjie Qian

2023/8/20

Towards Acoustic-to-Articulatory Inversion for Pronunciation Training

Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE)

Charles McGhee

Kate Knill

Mark Gales

2023/8/8

Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning

Stefano Bannò

Kate M Knill

Marco Matassoni

Vyas Raina

Mark Gales

2023/8/19

The Cambridge Multiple-Choice Questions Reading Dataset

Andrew Mullooly

Øistein Andersen

Luca Benedetto

Paula Buttery

Andrew Caines

...

2023

Adapting an ASR Foundation Model for Spoken Language Assessment

SLaTE

Rao Ma

Mengjie Qian

Mark Gales

Kate Knill

2023/8/20

L2 proficiency assessment using self-supervised speech representations

arXiv preprint arXiv:2211.08849

Stefano Bannò

Kate M Knill

Marco Matassoni

Vyas Raina

Mark JF Gales

2022/11/16

Increasing context for estimating confidence scores in automatic speech recognition

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Anton Ragni

Mark JF Gales

Oliver Rose

Katherine M Knill

Alexandros Kastanos

...

2022/3/22

View-specific assessment of L2 spoken English

Stefano Bannò

Bhanu Balusu

Mark JF Gales

Kate M Knill

Konstantinos Kyriakopoulos

2022

See List of Professors in Kate Knill University(University of Cambridge)

Co-Authors

H-index: 67
Mark Gales

Mark Gales

University of Cambridge

H-index: 67
Jonathon A Chambers

Jonathon A Chambers

University of Leicester

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