Semi-non-intrusive objective intelligibility measure using spatial filtering in hearing aids

Charlotte Sørensen, Jesper Bünsow Boldt, Frederik Gran, Mads Græsbøll Christensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)
146 Downloads (Pure)

Resumé

Reliable non-intrusive online assessment of speech intelligibility can play a key role for the functioning of hearing aids, e.g. as guidance for adjusting the hearing aid settings to the environment. While existing intrusive metrics can provide a precise and reliable measure, the current non-intrusive metrics have not been able to achieve acceptable intelligibility predictions. This paper presents a new semi-non-intrusive intelligibility measure based on an existing intrusive measure, STOI, where an estimate of the clean speech is extracted using spatial filtering in the hearing aid. The results indicate that the STOI score obtained with the proposed method using an estimate of the clean speech correlates well with the STOI score having the original clean speech signal available.
OriginalsprogEngelsk
Titel24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 2016, Budapest, Hungary
ForlagIEEE
Publikationsdato2016
Sider1358-1362
ISBN (Trykt)978-0-9928-6265-7
DOI
StatusUdgivet - 2016
Begivenhed24th European Signal Processing Conference - Hilton Budapest, Budapest, Ungarn
Varighed: 29 aug. 20162 sep. 2016
Konferencens nummer: 24

Konference

Konference24th European Signal Processing Conference
Nummer24
LokationHilton Budapest
LandUngarn
ByBudapest
Periode29/08/201602/09/2016
NavnProceedings of the European Signal Processing Conference
ISSN2076-1465

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Hearing aids
Speech intelligibility

Citer dette

Sørensen, C., Boldt, J. B., Gran, F., & Christensen, M. G. (2016). Semi-non-intrusive objective intelligibility measure using spatial filtering in hearing aids. I 24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 2016, Budapest, Hungary (s. 1358-1362). IEEE. Proceedings of the European Signal Processing Conference https://doi.org/10.1109/EUSIPCO.2016.7760470
Sørensen, Charlotte ; Boldt, Jesper Bünsow ; Gran, Frederik ; Christensen, Mads Græsbøll. / Semi-non-intrusive objective intelligibility measure using spatial filtering in hearing aids. 24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 2016, Budapest, Hungary. IEEE, 2016. s. 1358-1362 (Proceedings of the European Signal Processing Conference).
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abstract = "Reliable non-intrusive online assessment of speech intelligibility can play a key role for the functioning of hearing aids, e.g. as guidance for adjusting the hearing aid settings to the environment. While existing intrusive metrics can provide a precise and reliable measure, the current non-intrusive metrics have not been able to achieve acceptable intelligibility predictions. This paper presents a new semi-non-intrusive intelligibility measure based on an existing intrusive measure, STOI, where an estimate of the clean speech is extracted using spatial filtering in the hearing aid. The results indicate that the STOI score obtained with the proposed method using an estimate of the clean speech correlates well with the STOI score having the original clean speech signal available.",
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Sørensen, C, Boldt, JB, Gran, F & Christensen, MG 2016, Semi-non-intrusive objective intelligibility measure using spatial filtering in hearing aids. i 24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 2016, Budapest, Hungary. IEEE, Proceedings of the European Signal Processing Conference, s. 1358-1362, Budapest, Ungarn, 29/08/2016. https://doi.org/10.1109/EUSIPCO.2016.7760470

Semi-non-intrusive objective intelligibility measure using spatial filtering in hearing aids. / Sørensen, Charlotte; Boldt, Jesper Bünsow; Gran, Frederik; Christensen, Mads Græsbøll.

24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 2016, Budapest, Hungary. IEEE, 2016. s. 1358-1362 (Proceedings of the European Signal Processing Conference).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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N2 - Reliable non-intrusive online assessment of speech intelligibility can play a key role for the functioning of hearing aids, e.g. as guidance for adjusting the hearing aid settings to the environment. While existing intrusive metrics can provide a precise and reliable measure, the current non-intrusive metrics have not been able to achieve acceptable intelligibility predictions. This paper presents a new semi-non-intrusive intelligibility measure based on an existing intrusive measure, STOI, where an estimate of the clean speech is extracted using spatial filtering in the hearing aid. The results indicate that the STOI score obtained with the proposed method using an estimate of the clean speech correlates well with the STOI score having the original clean speech signal available.

AB - Reliable non-intrusive online assessment of speech intelligibility can play a key role for the functioning of hearing aids, e.g. as guidance for adjusting the hearing aid settings to the environment. While existing intrusive metrics can provide a precise and reliable measure, the current non-intrusive metrics have not been able to achieve acceptable intelligibility predictions. This paper presents a new semi-non-intrusive intelligibility measure based on an existing intrusive measure, STOI, where an estimate of the clean speech is extracted using spatial filtering in the hearing aid. The results indicate that the STOI score obtained with the proposed method using an estimate of the clean speech correlates well with the STOI score having the original clean speech signal available.

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Sørensen C, Boldt JB, Gran F, Christensen MG. Semi-non-intrusive objective intelligibility measure using spatial filtering in hearing aids. I 24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 2016, Budapest, Hungary. IEEE. 2016. s. 1358-1362. (Proceedings of the European Signal Processing Conference). https://doi.org/10.1109/EUSIPCO.2016.7760470