Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach

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

1 Citation (Scopus)

Resumé

It could be beneficial for users of hearing aids if
these were able to automatically adjust the processing according
to the speech intelligibility in the specific acoustic environment.
Most speech intelligibility metrics are intrusive, i.e., they require
a clean reference signal, which is rarely available in real-life
applications. This paper proposes a method, which allows using
an intrusive short-time objective intelligibility (STOI) metric
without requiring access to a clean signal. The clean speech
reference signal is replaced by the clean speech envelope spectrum
estimated from the noisy signal. The spectral envelope has been
shown to be an important cue for speech intelligibility and is used
as the reference signal inside STOI. The spectral envelopes are
estimated as a combination of predefined dictionaries, i.e., codebooks,
that best fits the noisy speech signal. The simulations show
a high correlation between the proposed non-intrusive codebookbased
STOI (NIC-STOI) and the intrusive STOI indicating that
NIC-STOI is a suitable metric for automatic classification of
speech signals
OriginalsprogEngelsk
Titel25th European Signal Processing Conference (EUSIPCO), 2017
ForlagIEEE
Publikationsdato2017
Sider216-220
ISBN (Elektronisk)978-0-9928626-7-1
DOI
StatusUdgivet - 2017
Begivenhed25th European Signal Processing Conference 2017 - Kos International Convention Center, Kos, Grækenland
Varighed: 28 aug. 20172 sep. 2017
Konferencens nummer: 25
https://www.eusipco2017.org/#

Konference

Konference25th European Signal Processing Conference 2017
Nummer25
LokationKos International Convention Center
LandGrækenland
ByKos
Periode28/08/201702/09/2017
Internetadresse
NavnProceedings of the European Signal Processing Conference
ISSN2076-1465

Fingerprint

Speech intelligibility
Hearing aids
Glossaries
Acoustics
Processing

Citer dette

Sørensen, C., Kavalekalam, M. S., Xenaki, A., Boldt, J. B., & Christensen, M. G. (2017). Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach. I 25th European Signal Processing Conference (EUSIPCO), 2017 (s. 216-220). IEEE. Proceedings of the European Signal Processing Conference https://doi.org/10.23919/EUSIPCO.2017.8081200
Sørensen, Charlotte ; Kavalekalam, Mathew Shaji ; Xenaki, Angeliki ; Boldt, Jesper Bünsow ; Christensen, Mads Græsbøll. / Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach. 25th European Signal Processing Conference (EUSIPCO), 2017. IEEE, 2017. s. 216-220 (Proceedings of the European Signal Processing Conference).
@inproceedings{9d306e08aaf54e82b5191bf61bee3722,
title = "Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach",
abstract = "It could be beneficial for users of hearing aids ifthese were able to automatically adjust the processing accordingto the speech intelligibility in the specific acoustic environment.Most speech intelligibility metrics are intrusive, i.e., they requirea clean reference signal, which is rarely available in real-lifeapplications. This paper proposes a method, which allows usingan intrusive short-time objective intelligibility (STOI) metricwithout requiring access to a clean signal. The clean speechreference signal is replaced by the clean speech envelope spectrumestimated from the noisy signal. The spectral envelope has beenshown to be an important cue for speech intelligibility and is usedas the reference signal inside STOI. The spectral envelopes areestimated as a combination of predefined dictionaries, i.e., codebooks,that best fits the noisy speech signal. The simulations showa high correlation between the proposed non-intrusive codebookbasedSTOI (NIC-STOI) and the intrusive STOI indicating thatNIC-STOI is a suitable metric for automatic classification ofspeech signals",
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booktitle = "25th European Signal Processing Conference (EUSIPCO), 2017",
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Sørensen, C, Kavalekalam, MS, Xenaki, A, Boldt, JB & Christensen, MG 2017, Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach. i 25th European Signal Processing Conference (EUSIPCO), 2017. IEEE, Proceedings of the European Signal Processing Conference, s. 216-220, Kos, Grækenland, 28/08/2017. https://doi.org/10.23919/EUSIPCO.2017.8081200

Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach. / Sørensen, Charlotte; Kavalekalam, Mathew Shaji; Xenaki, Angeliki; Boldt, Jesper Bünsow; Christensen, Mads Græsbøll.

25th European Signal Processing Conference (EUSIPCO), 2017. IEEE, 2017. s. 216-220.

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

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AU - Boldt, Jesper Bünsow

AU - Christensen, Mads Græsbøll

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Sørensen C, Kavalekalam MS, Xenaki A, Boldt JB, Christensen MG. Non-Intrusive Intelligibility Prediction Using a Codebook-Based Approach. I 25th European Signal Processing Conference (EUSIPCO), 2017. IEEE. 2017. s. 216-220. (Proceedings of the European Signal Processing Conference). https://doi.org/10.23919/EUSIPCO.2017.8081200