Data-Driven Speech Intelligibility Prediction

Mathias Pedersen

doi:10.54337/aau532688918

Data-Driven Speech Intelligibility Prediction

Bidragets oversatte titel: Data-Drevet Taleforstålighedsprædiktion

Mathias Pedersen

Publikation: Ph.d.-afhandling

225 Downloads (Pure)

Bidragets oversatte titel	Data-Drevet Taleforstålighedsprædiktion
Originalsprog	Engelsk
Vejledere	Jensen, Jesper, Hovedvejleder Tan, Zheng-Hua, Bivejleder Jensen, Søren Holdt, Bivejleder Andersen, Asger Heidemann, Bivejleder
Udgiver	Aalborg Universitetsforlag
ISBN'er, elektronisk	978-87-7573-733-8
DOI	https://doi.org/10.54337/aau532688918
Status	Udgivet - 2023

Bibliografisk note

PhD supervisors:
Prof. Jesper Jensen, Aalborg University and Demant A/S
Prof. Zheng-Hua Tan, Aalborg University
Prof. Søren Holdt Jensen, Chora A/S
Asger Heidemann Andersen, WS Audiology A/S

Emneord

taleforstålighed
taleforstålighedsprædiktion

Adgang til dokumentet

10.54337/aau532688918

PHD_MathiasPedersenForlagets udgivne version, 7,02 MB

AUB Link

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2 Konferenceartikel i proceeding
1 Tidsskriftartikel

Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data
Pedersen, M. B., Andersen, A. H., Jensen, S. H., Tan, Z. H. & Jensen, J., 2022, I: IEEE Access. 10, s. 66175-66189 15 s.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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3 Citationer (Scopus)

63 Downloads (Pure)
A Neural Network for Monaural Intrusive Speech Intelligibility Prediction
Pedersen, M., Andersen, A. H., Jensen, S. H. & Jensen, J., maj 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE (Institute of Electrical and Electronics Engineers), s. 336-340 5 s. 9052949. (International Conference on Acoustics Speech and Signal Processing (ICASSP)).
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
19 Citationer (Scopus)
End-to-end Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks
Pedersen, M., Kolbæk, M., Andersen, A. H., Jensen, S. H. & Jensen, J., 2020, INTERSPEECH 2020. s. 1151-1155 5 s. (Proceedings of the International Conference on Spoken Language Processing).
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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12 Citationer (Scopus)

193 Downloads (Pure)

Citationsformater

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title = "Data-Driven Speech Intelligibility Prediction",

keywords = "taleforst{\aa}lighed, taleforst{\aa}lighedspr{\ae}diktion",

author = "Mathias Pedersen",

note = "PhD supervisors: Prof. Jesper Jensen, Aalborg University and Demant A/S Prof. Zheng-Hua Tan, Aalborg University Prof. S{\o}ren Holdt Jensen, Chora A/S Asger Heidemann Andersen, WS Audiology A/S",

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doi = "10.54337/aau532688918",

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N1 - PhD supervisors: Prof. Jesper Jensen, Aalborg University and Demant A/S Prof. Zheng-Hua Tan, Aalborg University Prof. Søren Holdt Jensen, Chora A/S Asger Heidemann Andersen, WS Audiology A/S

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KW - taleforstålighed

KW - taleforstålighedsprædiktion

U2 - 10.54337/aau532688918

DO - 10.54337/aau532688918

M3 - PhD thesis

T3 - Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet

PB - Aalborg Universitetsforlag

ER -

Data-Driven Speech Intelligibility Prediction

Bibliografisk note

Emneord

Adgang til dokumentet

AUB Link

Publikation

Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data

A Neural Network for Monaural Intrusive Speech Intelligibility Prediction

End-to-end Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks

Citationsformater