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M. Huckvale · SciRah

Researcher profile · Semantic Scholar

M. Huckvale

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M. Huckvale — researcher profile on SciRah

h-index: 22
Works: 153
Citations: 2,128

Most-cited papers

AVATAR therapy for auditory verbal hallucinations in people with psychosis: a single-blind, randomised controlled trial
T. Craig, M. Rus-Calafell, T. Ward, J. Leff +4 more
2018Lancet psychiatry311 citations Open access
Semantic Scholar
Computer-assisted therapy for medication-resistant auditory hallucinations: proof-of-concept study
J. Leff, G. Williams, M. Huckvale, Maurice Arbuthnot +1 more
2013British Journal of Psychiatry194 citations Open access
Semantic Scholar
Avatar therapy for persecutory auditory hallucinations: What is it and how does it work?
J. Leff, G. Williams, M. Huckvale, Maurice Arbuthnot +1 more
2013Psychosis152 citations Open access
Semantic Scholar
Improvements in Speech Synthesis
E. Keller, J. Terken, M. Huckvale, G. Gailly +1 more
200172 citations
Semantic Scholar
How Is Individuality Expressed in Voice? An Introduction to Speech Production and Description for Speaker Classification
Volker Dellwo, M. Huckvale, M. Ashby
2007Speaker Classification60 citations
Semantic Scholar
ACCDIST: a metric for comparing speakers' accents
M. Huckvale
2004Interspeech59 citations Open access
Semantic Scholar
The reliability of the ITU-t p.85 standard for the evaluation of text-to-speech systems
Yolanda Vazquez-Alvarez, M. Huckvale
2002Interspeech54 citations
Semantic Scholar
Second-language experience and speech-in-noise recognition: effects of talker-listener accent similarity.
M. Pinet, P. Iverson, M. Huckvale
2010Journal of the Acoustical Society of America53 citations
Semantic Scholar
Effects of noise suppression on intelligibility: dependency on signal-to-noise ratios.
G. Hilkhuysen, N. Gaubitch, M. Brookes, M. Huckvale
2012Journal of the Acoustical Society of America47 citations
Semantic Scholar
Optimising AVATAR therapy for people who hear distressing voices: study protocol for the AVATAR2 multi-centre randomised controlled trial
P. Garety, C. Edwards, T. Ward, R. Emsley +12 more
2021Trials44 citations Open access
Semantic Scholar
Spoken language conversion with accent morphing
M. Huckvale, Kayoko Yanagisawa
2007Speech Synthesis Workshop37 citations
Semantic Scholar
ACCDIST: An Accent Similarity Metric for Accent Recognition and Diagnosis
M. Huckvale
2007Speaker Classification33 citations
Semantic Scholar
Facilities to assist people to research into stammered speech
P. Howell, M. Huckvale
2004Stammering research : an on-line journal published by the British Stammering Association33 citations
Semantic Scholar
NUVA: A Naming Utterance Verifier for Aphasia Treatment
D. Barbera, M. Huckvale, Victoria Fleming, E. Upton +6 more
2021Computer Speech and Language30 citations Open access
Semantic Scholar
Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement
T. Green, G. Hilkhuysen, M. Huckvale, S. Rosen +5 more
2022Trends in Hearing28 citations Open access
Semantic Scholar
Automated Detection of Voice Disorder in the Saarbrücken Voice Database: Effects of Pathology Subset and Audio Materials
M. Huckvale, Catinca Buciuleac
2021Interspeech28 citations
Semantic Scholar
Data driven method for non-intrusive speech intelligibility estimation
D. Sharma, G. Hilkhuysen, N. Gaubitch, P. Naylor +2 more
2010European Signal Processing Conference28 citations
Semantic Scholar
Procedures used for assessment of stuttering frequency and stuttering duration
Leanne Jani, M. Huckvale, P. Howell
2013Clinical Linguistics & Phonetics27 citations
Semantic Scholar
Linguistic factors affecting timing in Korean with application to speech synthesis
Hyunsong Chung, M. Huckvale
2001Interspeech23 citations Open access
Semantic Scholar
Pronunciation variation modelling using accent features
M. Tjalve, M. Huckvale
2005Interspeech22 citations Open access
Semantic Scholar
Training a Vocal Tract Synthesiser to imitate speech using Distal Supervised Learning
I. Howard, M. Huckvale
200522 citations
Semantic Scholar
Using phonologically-constrained morphological analysis in continuous speech recognition
M. Huckvale, A. Fang
2002Computer Speech and Language20 citations
Semantic Scholar
It Sounds Like You Have a Cold! Testing Voice Features for the Interspeech 2017 Computational Paralinguistics Cold Challenge
M. Huckvale, A. Beke
2017Interspeech19 citations
Semantic Scholar
Prediction of Sleepiness Ratings from Voice by Man and Machine
M. Huckvale, A. Beke, Mirei Ikushima
2020Interspeech17 citations Open access
Semantic Scholar
Avatar therapy: an audio-visual dialogue system for treating auditory hallucinations
M. Huckvale, J. Leff, Geoff Williams
2013Interspeech17 citations
Semantic Scholar
Automated voice pathology discrimination from audio recordings benefits from phonetic analysis of continuous speech
M. Huckvale, Zhuoyan Liu, Catinca Buciuleac
2023Biomedical Signal Processing and Control16 citations Open access
Semantic Scholar
Participants’ experiences of AVATAR therapy for distressing voices: a thematic qualitative evaluation
M. Rus-Calafell, Nils Ehrbar, T. Ward, C. Edwards +4 more
2022BMC Psychiatry16 citations Open access
Semantic Scholar
Neural Network Architecture That Combines Temporal and Summative Features for Infant Cry Classification in the Interspeech 2018 Computational Paralinguistics Challenge
M. Huckvale
2018Interspeech14 citations Open access
Semantic Scholar
Hearing and Language : work in progress Volume 12 2000 Automatic cue-enhancement of natural speech for improved intelligibility
M. Ortega, Valérie Hazan, M. Huckvale
200114 citations
Semantic Scholar
Speech synthesis, speech simulation and speech science
M. Huckvale
2002Interspeech13 citations Open access
Semantic Scholar
Predicting Fatigue and Psychophysiological Test Performance from Speech for Safety-Critical Environments
K. Baykaner, M. Huckvale, I. Whiteley, S. Andreeva +1 more
2015Frontiers in Bioengineering and Biotechnology12 citations Open access
Semantic Scholar
Prediction of cognitive load from speech with the VOQAL voice quality toolbox for the interspeech 2014 computational paralinguistics challenge
M. Huckvale
2014Interspeech12 citations
Semantic Scholar
Effects of noise suppression on intelligibility. II: An attempt to validate physical metrics.
G. Hilkhuysen, N. Gaubitch, M. Brookes, M. Huckvale
2014Journal of the Acoustical Society of America11 citations
Semantic Scholar
HIERARCHICAL CLUSTERING OF SPEAKERS INTO ACCENTS WITH THE ACCDIST METRIC
M. Huckvale
200711 citations
Semantic Scholar
Automated Voice Pathology Discrimination from Continuous Speech Benefits from Analysis by Phonetic Context
Zhuoyan Liu, M. Huckvale, Julian McGlashan
2022Interspeech8 citations Open access
Semantic Scholar
The new accent technologies:recognition, measurement and manipulation of accented speech
M. Huckvale
20068 citations
Semantic Scholar
Second language experience and speech-in-noise recognition: the role of L2 experience in the talker-listener accent interaction.
M. Pinet, P. Iverson, M. Huckvale
20107 citations
Semantic Scholar
Effect of noise reduction on reaction time to speech in noise
M. Huckvale, Jayne Leak
2009Interspeech7 citations Open access
Semantic Scholar
Assessment of naturalness in the ProSynth speech synthesis project
S. Hawkins, Sebastian Heid, Jill House, M. Huckvale
20007 citations Open access
Semantic Scholar
An Utterance Verification System for Word Naming Therapy in Aphasia
D. Barbera, M. Huckvale, Victoria Fleming, E. Upton +5 more
2020Interspeech6 citations
Semantic Scholar
Effects of noise suppression on intelligibility: experts' opinions and naive normal-hearing listeners' performance.
G. Hilkhuysen, N. Gaubitch, M. Huckvale
2013Journal of Speech, Language and Hearing Research6 citations
Semantic Scholar
KLAIR: a virtual infant for spoken language acquisition research
M. Huckvale, I. Howard, Sascha Fagel
2009Interspeech6 citations Open access
Semantic Scholar
Learning to control an articulatory synthesizer by imitating real speech
I. Howard, M. Huckvale
20056 citations
Semantic Scholar
Combining Acoustic, Phonetic, Linguistic and Audiometric data in an Intrusive Intelligibility Metric for Hearing-Impaired Listeners
M. Huckvale, G. Hilkhuysen
2023The 4th Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023)5 citations
Semantic Scholar
Confronting Auditory Hallucinations Using Virtual Reality: The Avatar Therapy.
M. Rus-Calafell, P. Garety, T. Ward, Geoff Williams +3 more
2015Studies in Health Technology and Informatics5 citations
Semantic Scholar
A Comparison of Human and Machine Estimation of Speaker Age
M. Huckvale, Aimee Webb
2015International Conference on Statistical Language and Speech Processing5 citations
Semantic Scholar
ACCENT MORPHING AS A TECHNIQUE TO IMPROVE THE INTELLIGIBILITY OF FOREIGN-ACCENTED SPEECH
Kayoko Yanagisawa, M. Huckvale
20075 citations
Semantic Scholar
WORD RECOGNITION FROM TIERED PHONOLOGICAL MODELS
M. Huckvale
2024Speech and Hearing4 citations Open access
Semantic Scholar
ELO-SPHERES intelligibility prediction model for the Clarity Prediction Challenge 2022
M. Huckvale, G. Hilkhuysen
2022Interspeech4 citations Open access
Semantic Scholar
The Prediction of Fatigue Using Speech as a Biosignal
K. Baykaner, M. Huckvale, I. Whiteley, O. Ryumin +1 more
2015International Conference on Statistical Language and Speech Processing4 citations Open access
Semantic Scholar

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