Mark Huckvale

Mark Huckvale

University College London

H-index: 23

Europe-United Kingdom

About Mark Huckvale

Mark Huckvale, With an exceptional h-index of 23 and a recent h-index of 12 (since 2020), a distinguished researcher at University College London, specializes in the field of speech.

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

Cost-effectiveness of AVATAR therapy for voices compared to 2 supportive counselling for people with psychosis

Automated voice pathology discrimination from audio recordings benefits from phonetic analysis of continuous speech

Combining acoustic, phonetic, linguistic and audiometric data in an intrusive intelligibility metric for hearing-impaired listeners

The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents

Participants’ experiences of AVATAR therapy for distressing voices: a thematic qualitative evaluation

Automated voice pathology discrimination from continuous speech benefits from analysis by phonetic context

Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement

ELO-SPHERES intelligibility prediction model for the Clarity Prediction Challenge 2022

Mark Huckvale Information

University

Position

___

Citations(all)

2586

Citations(since 2020)

917

Cited By

2023

hIndex(all)

23

hIndex(since 2020)

12

i10Index(all)

50

i10Index(since 2020)

18

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Mark Huckvale Skills & Research Interests

speech

Top articles of Mark Huckvale

Title

Journal

Author(s)

Publication Date

Cost-effectiveness of AVATAR therapy for voices compared to 2 supportive counselling for people with psychosis

Frontiers in Psychiatry

Philippa Garety

Tom KJ Craig

Mar Rus-Calafell

Richard Emsley

Jonathan Spencer

...

2023

Automated voice pathology discrimination from audio recordings benefits from phonetic analysis of continuous speech

Biomedical Signal Processing and Control

Mark Huckvale

Zhuoya Liu

Catinca Buciuleac

2023/9/1

Combining acoustic, phonetic, linguistic and audiometric data in an intrusive intelligibility metric for hearing-impaired listeners

Proc. ISCA Clarity-2023, Dublin, Ireland

Mark Huckvale

Gaston Hilkhuysen

2023/8

The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents

Frontiers in Psychiatry

Clementine J Edwards

Oliver Owrid

Lucy Miller

Hassan Jafari

Richard Emsley

...

2023/7/21

Participants’ experiences of AVATAR therapy for distressing voices: a thematic qualitative evaluation

BMC psychiatry

Mar Rus-Calafell

Nils Ehrbar

Thomas Ward

Clementine Edwards

Mark Huckvale

...

2022/5/24

Automated voice pathology discrimination from continuous speech benefits from analysis by phonetic context

Zhuoya Liu

Mark Huckvale

Julian McGlashan

2022/9/22

Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement

Tim Green

Gaston Hilkhuysen

Mark Huckvale

Stuart Rosen

Mike Brookes

...

2022/1

ELO-SPHERES intelligibility prediction model for the Clarity Prediction Challenge 2022

Mark Huckvale

Gaston Hilkhuysen

2022/9/22

The UK AVATAR 1 and 2 Trials for People with Distressing Voices–Findings and Learning from AVATAR1, and AVATAR2 Developments in Theory and Therapy

European Psychiatry

T Craig

P Garety

T Ward

C Edwards

M Rus-Calafell

...

2022/6

Participants' experiences of AVATAR therapy for distressing voices

Mar Rus‑Calafell

Nils Ehrbar

Thomas Ward

Clementine J Edwards

Mark Huckvale

...

2022/5/24

A binaural MVDR beamformer for the 2021 Clarity Enhancement Challenge: ELO-SPHERES consortium system description

Proc. Clarity Workshop on Machine Learning Challenges for Hearing Aids

Alastair H Moore

Sina Hafezi

Rebecca Vos

Mike Brookes

Patrick A Naylor

...

2021

ELO-SPHERES consortium system description

Proc. of Clarity

Alastair H Moore

Sina Hafezi

Rebecca Vos

Mike Brookes

Patrick A Naylor

...

2021

NUVA: a naming utterance verifier for aphasia treatment

Computer Speech & Language

David S Barbera

Mark Huckvale

Victoria Fleming

Emily Upton

Henry Coley-Fisher

...

2021/9/1

Automated detection of voice disorder in the Saarbrücken voice database: Effects of pathology subset and audio materials

Mark Huckvale

Catinca Buciuleac

2021/8/30

Optimising AVATAR therapy for people who hear distressing voices: study protocol for the AVATAR2 multi-centre randomised controlled trial

Trials

Philippa Garety

Clementine J Edwards

Thomas Ward

Richard Emsley

Mark Huckvale

...

2021/5/25

Performance on the graded naming test in a population‐based sample of 72‐year‐olds: Associations with life‐course predictors and β‐amyloid pathology: Neuropsychology/Early …

Alzheimer's & Dementia

Rebecca E Street

Kirsty Lu

Mark Huckvale

Emilie V Brotherhood

Ivanna M Pavisic

...

2020/12

An utterance verification system for word naming therapy in Aphasia

David S Barbera

Mark Huckvale

Victoria Fleming

Emily Upton

Henry Coley-Fisher

...

2020/10/29

Prediction of sleepiness ratings from voice by man and machine

Mark Huckvale

András Beke

Mirei Ikushima

2020/10/29

See List of Professors in Mark Huckvale University(University College London)