Directed information measures for assessing perceived audio quality using EEG

Ketan Mehta; Jorg Kliewer

doi:10.1109/ACSSC.2015.7421096

Directed information measures for assessing perceived audio quality using EEG

Ketan Mehta, Jorg Kliewer

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

We exploit directed information to examine the causal relationship between EEG data in response to audio stimulus. Specifically, we conduct experiments wherein the EEG activity of subjects is recorded as they listen to audio with time- varying audio quality between two different levels. Different types of directed information measures are then used to quantify the information flow between EEG sensors, which are grouped into different regions of interest over the cortex. Further, we determine the analytical relationship between these different directional measures and compare how well they are able to distinguish between the perceived audio quality.

Original language	English (US)
Title of host publication	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	123-127
Number of pages	5
ISBN (Electronic)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421096
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2016-February
ISSN (Print)	1058-6393

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2015.7421096

Cite this

Mehta, K., & Kliewer, J. (2016). Directed information measures for assessing perceived audio quality using EEG. In M. B. Matthews (Ed.), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 (pp. 123-127). Article 7421096 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2016-February). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421096

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title = "Directed information measures for assessing perceived audio quality using EEG",

abstract = "We exploit directed information to examine the causal relationship between EEG data in response to audio stimulus. Specifically, we conduct experiments wherein the EEG activity of subjects is recorded as they listen to audio with time- varying audio quality between two different levels. Different types of directed information measures are then used to quantify the information flow between EEG sensors, which are grouped into different regions of interest over the cortex. Further, we determine the analytical relationship between these different directional measures and compare how well they are able to distinguish between the perceived audio quality.",

author = "Ketan Mehta and Jorg Kliewer",

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Mehta, K & Kliewer, J 2016, Directed information measures for assessing perceived audio quality using EEG. in MB Matthews (ed.), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015., 7421096, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2016-February, IEEE Computer Society, pp. 123-127, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421096

Directed information measures for assessing perceived audio quality using EEG. / Mehta, Ketan; Kliewer, Jorg.
Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. ed. / Michael B. Matthews. IEEE Computer Society, 2016. p. 123-127 7421096 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2016-February).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - We exploit directed information to examine the causal relationship between EEG data in response to audio stimulus. Specifically, we conduct experiments wherein the EEG activity of subjects is recorded as they listen to audio with time- varying audio quality between two different levels. Different types of directed information measures are then used to quantify the information flow between EEG sensors, which are grouped into different regions of interest over the cortex. Further, we determine the analytical relationship between these different directional measures and compare how well they are able to distinguish between the perceived audio quality.

AB - We exploit directed information to examine the causal relationship between EEG data in response to audio stimulus. Specifically, we conduct experiments wherein the EEG activity of subjects is recorded as they listen to audio with time- varying audio quality between two different levels. Different types of directed information measures are then used to quantify the information flow between EEG sensors, which are grouped into different regions of interest over the cortex. Further, we determine the analytical relationship between these different directional measures and compare how well they are able to distinguish between the perceived audio quality.

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Mehta K, Kliewer J. Directed information measures for assessing perceived audio quality using EEG. In Matthews MB, editor, Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. IEEE Computer Society. 2016. p. 123-127. 7421096. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2015.7421096

Directed information measures for assessing perceived audio quality using EEG

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