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Decoding Auditory A...
Decoding Auditory Attention From EEG Data Using Cepstral Analysis
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- Alickovic, Emina (författare)
- Linköpings universitet,Linköping University,Oticon A/S,Reglerteknik,Tekniska fakulteten,Eriksholm Res Ctr, Denmark
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- Mendoza, Carlos Francisco (författare)
- Oticon A/S,Eriksholm Res Ctr, Denmark; Lund Univ, Sweden
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- Segar, Andrew (författare)
- Oticon A/S,Eriksholm Res Ctr, Denmark; Lund Univ, Sweden
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- Sandsten, Maria (författare)
- Lund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Teknisk matematik (CI),Utbildningsprogram, LTH,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LTH profilområde: AI och digitalisering,LTH profilområde: Teknik för hälsa,LU profilområde: Ljus och material,Lunds universitets profilområden,LU profilområde: Naturlig och artificiell kognition,Lund University Research Groups,Other operations, LTH,Faculty of Engineering, LTH,Engineering Mathematics (M.Sc.Eng.),Educational programmes, LTH,Faculty of Engineering, LTH,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: AI and Digitalization,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas,LU Profile Area: Natural and Artificial Cognition,Lund Univ, Sweden
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- Skoglund, Martin (författare)
- Linköpings universitet,Linköping University,Oticon A/S,Reglerteknik,Tekniska fakulteten,Eriksholm Res Ctr, Denmark
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(creator_code:org_t)
- IEEE, 2023
- 2023
- Engelska.
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Ingår i: ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. - : IEEE. - 9798350302615 - 9798350302622
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Recent studies of selective auditory attention have demonstrated that neural responses recorded with electroencephalogram (EEG) can be decoded to classify the attended talker in everyday multitalker cocktail-party environments. This is generally referred to as the auditory attention decoding (AAD) and could lead to a breakthrough for the next-generation of hearing aids (HAs) to have the ability to be cognitively controlled. The aim of this paper is to investigate whether cepstral analysis can be used as a more robust mapping between speech and EEG. Our preliminary analysis revealed an average AAD accuracy of 96%. Moreover, we observed a significant increase in auditory attention classification accuracies with our approach over the use of traditional AAD methods (7% absolute increase). Overall, our exploratory study could open a new avenue for developing new AAD methods to further advance hearing technology. We recognize that additional research is needed to elucidate the full potential of cepstral analysis for AAD.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Oto-rhino-laryngologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Otorhinolaryngology (hsv//eng)
Nyckelord
- auditory attention decoding
- cepstral analysis
- EEG
- speech processing
- stimulus reconstruction
- auditory attention decoding; stimulus reconstruction; speech processing; EEG; cepstral analysis
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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