AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocol

Tim Bashford; Hok Shing Lau; Mark Huntly; Nathan Morgan; Adesua  Iyenoma; Tom Powell; Biao Zeng

AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocol

Tim Bashford^*, Hok Shing Lau, Mark Huntly, Nathan Morgan, Adesua Iyenoma, Tom Powell, Biao Zeng

^*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl Cynhadledd › adolygiad gan gymheiriaid

135 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

Speech biomarkers represent a powerful indicator for detecting, monitoring and categorising neurological, psychological , pathological and pulmonary conditions. Facilitated by advances in computational power and artificial intelligence (AI) techniques, we present a novel ecosystem for data acquisition , analysis and storage, using an articulatory speech task. By automatically segmenting, aligning and extracting features from the vocal recordings, we present a feature extraction pipeline toward the classification of pathological conditions, specifically respiratory disease through recorded voice. Data is stored within a Trusted Research Environment, for which this work also presents a range of ethical considerations.

Iaith wreiddiol	Saesneg
Rhif yr erthygl	13
Nifer y tudalennau	5
Cyfnodolyn	International Journal of Simulation, Systems, Science and Technology
Cyfrol	25
Rhif cyhoeddi	1
Statws	Cyhoeddwyd - Maw 2024
Digwyddiad	UKSim-AMSS: International Conference on Mathematical/Analytical Modelling and Computer Simulation - Emmanuel College, Cambridge, Y Deyrnas Unedig Hyd: 26 Maw 2024 → 28 Maw 2024 Rhif y gynhadledd: 26th

Mynediad at Ddogfen

AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocolFersiwn derfynol wedi’i chyhoeddi, 923 KB

https://ijssst.info/Vol-25/No-1/paper13.pdf

2 Cyfraniad i gynhadledd
1 Papur
1 Erthygl

Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Test
Chadli, H., Zeng, B. & Zhou, X., 20 Awst 2025, (E-gyhoeddi cyn argraffu) Artificial Intelligence in Healthcare. Cafolla, D., Rittman, T. & Ni, H. (gol.). 1 gol. Springer, Cyfrol 1. t. 200-212 12 t. (Lecture Notes in Computer Science; Cyfrol 16038).
Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid
Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders
Lau, H. S., Huntly, M., Morgan, N., Iyenoma, A., Zeng, B. & Bashford, T., 14 Awst 2024, Artificial Intelligence in Healthcare - 1st International Conference, AIiH 2024, Proceedings: First International Conference, AIiH 2024, Swansea, UK, September 4–6, 2024, Proceedings, Part I. Xie, X., Powathil, G., Styles, I. & Ceccarelli, M. (gol.). Springer, t. 59-72 14 t. (Lecture Notes in Computer Science; Cyfrol 14975).
Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid
23 Wedi eu Llwytho i Lawr (Pure)
Word or Phoneme? To Optimise Prosodic Features to Predict Lung Function with Helicopter Task
Zeng, B., Lau, H. S., Huntly, M., Bashford, T., Morgan, N., Williams, C. & Game, L., Medi 2024, (Wedi’i dderbyn/Yn y wasg).
Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
Exploring the Acoustic and Prosodic Features of a Lung Function Sensitive Repeated-word Speech Articulation Test
Zeng, B., Williams, E. M., Owen, C., Zhang, C., Davies, S., Evans, K. & Preudhomme, S.-R., 30 Awst 2023, Yn: Frontiers in Psychology. 14, 8 t., 1167902.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
59 Wedi eu Llwytho i Lawr (Pure)

1 Cymryd rhan mewn cynhadledd
1 Trefnu digwyddiad
1 Sgwrs wadd

INTERSPEECH 2024
Zeng, B. (Trefnydd), Zhou, X. (Siaradwr), Powell, T. (Siaradwr), Bashford, T. (Siaradwr), Huntly, M. (Siaradwr), Morgan, N. (Siaradwr) & Salter, R. (Siaradwr)
1 Medi 2024
Gweithgaredd: Cymryd rhan mewn digwyddiad neu drefnu digwyddiad › Cymryd rhan mewn cynhadledd
Helicopter task: exploring the acoustic, prosodic and breathing features of a lung function sensitive repeated-word speech articulation test
Zeng, B. (Siaradwr gwadd)
30 Meh 2023
Gweithgaredd: Sgwrs neu gyflwyniad › Sgwrs wadd
Speech Breathing Workshop
Zeng, B. (Trefnydd), Davies, S. (Trefnydd) & Owen, C. (Trefnydd)
6 Meh 2023
Gweithgaredd: Cymryd rhan mewn digwyddiad neu drefnu digwyddiad › Trefnu digwyddiad

Ffeil

Dyfynnu hyn

@article{5c38352ee4244e74be59239ac1ce06c3,

title = "AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocol",

abstract = "Speech biomarkers represent a powerful indicator for detecting, monitoring and categorising neurological, psychological , pathological and pulmonary conditions. Facilitated by advances in computational power and artificial intelligence (AI) techniques, we present a novel ecosystem for data acquisition , analysis and storage, using an articulatory speech task. By automatically segmenting, aligning and extracting features from the vocal recordings, we present a feature extraction pipeline toward the classification of pathological conditions, specifically respiratory disease through recorded voice. Data is stored within a Trusted Research Environment, for which this work also presents a range of ethical considerations.",

keywords = "Speech biomarkers, respiratory disease, artificial intelligence, speech breathing",

author = "Tim Bashford and Lau, {Hok Shing} and Mark Huntly and Nathan Morgan and Adesua Iyenoma and Tom Powell and Biao Zeng",

note = "Non-OA DOI for records - 10.5013/IJSSST.a.25.01.13; UKSim-AMSS : International Conference on Mathematical/Analytical Modelling and Computer Simulation, UKSim2024 ; Conference date: 26-03-2024 Through 28-03-2024",

year = "2024",

month = mar,

language = "English",

volume = "25",

journal = "International Journal of Simulation, Systems, Science and Technology",

issn = "1473-804X",

publisher = "United Kingdom Simulation Society",

number = "1",

}

TY - JOUR

T1 - AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocol

AU - Bashford, Tim

AU - Lau, Hok Shing

AU - Huntly, Mark

AU - Morgan, Nathan

AU - Iyenoma, Adesua

AU - Powell, Tom

AU - Zeng, Biao

N1 - Conference code: 26th

PY - 2024/3

Y1 - 2024/3

N2 - Speech biomarkers represent a powerful indicator for detecting, monitoring and categorising neurological, psychological , pathological and pulmonary conditions. Facilitated by advances in computational power and artificial intelligence (AI) techniques, we present a novel ecosystem for data acquisition , analysis and storage, using an articulatory speech task. By automatically segmenting, aligning and extracting features from the vocal recordings, we present a feature extraction pipeline toward the classification of pathological conditions, specifically respiratory disease through recorded voice. Data is stored within a Trusted Research Environment, for which this work also presents a range of ethical considerations.

AB - Speech biomarkers represent a powerful indicator for detecting, monitoring and categorising neurological, psychological , pathological and pulmonary conditions. Facilitated by advances in computational power and artificial intelligence (AI) techniques, we present a novel ecosystem for data acquisition , analysis and storage, using an articulatory speech task. By automatically segmenting, aligning and extracting features from the vocal recordings, we present a feature extraction pipeline toward the classification of pathological conditions, specifically respiratory disease through recorded voice. Data is stored within a Trusted Research Environment, for which this work also presents a range of ethical considerations.

KW - Speech biomarkers

KW - respiratory disease

KW - artificial intelligence

KW - speech breathing

M3 - Conference article

SN - 1473-804X

VL - 25

JO - International Journal of Simulation, Systems, Science and Technology

JF - International Journal of Simulation, Systems, Science and Technology

IS - 1

M1 - 13

T2 - UKSim-AMSS

Y2 - 26 March 2024 through 28 March 2024

ER -

AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocol

Crynodeb

Mynediad at Ddogfen

Ôl bys

Allbwn Ymchwil

Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Test

Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders

Word or Phoneme? To Optimise Prosodic Features to Predict Lung Function with Helicopter Task

Exploring the Acoustic and Prosodic Features of a Lung Function Sensitive Repeated-word Speech Articulation Test

Gweithgareddau

INTERSPEECH 2024

Helicopter task: exploring the acoustic, prosodic and breathing features of a lung function sensitive repeated-word speech articulation test

Speech Breathing Workshop

Dyfynnu hyn