An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG
© 2019 IEEE. Clinical applicability of electroencephalography (EEG) is well established, however the use of EEG as a choice for constructing brain computer interfaces to develop communication platforms is relatively recent. To provide more natural means of communication, there is an increasing focus...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021
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| Online Access: | https://hdl.handle.net/1721.1/138047 |
| _version_ | 1826202436248797184 |
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| author | Sharon, Rini A. Narayanan, Shrikanth Sur, Mriganka Murthy, Hema A. |
| author_facet | Sharon, Rini A. Narayanan, Shrikanth Sur, Mriganka Murthy, Hema A. |
| author_sort | Sharon, Rini A. |
| collection | MIT |
| description | © 2019 IEEE. Clinical applicability of electroencephalography (EEG) is well established, however the use of EEG as a choice for constructing brain computer interfaces to develop communication platforms is relatively recent. To provide more natural means of communication, there is an increasing focus on bringing together speech and EEG signal processing. Quantifying the way our brain processes speech is one way of approaching the problem of speech recognition using brain waves. This paper analyses the feasibility of recognizing syllable level units by studying the temporal structure of speech reflected in the EEG signals. The slowly varying component of the delta band EEG(0.3-3Hz) is present in all other EEG frequency bands. Analysis shows that removing the delta trend in EEG signals results in signals that reveals syllable like structure. Using a 25 syllable framework, classification of EEG data obtained from 13 subjects yields promising results, underscoring the potential of revealing speech related temporal structure in EEG. |
| first_indexed | 2024-09-23T12:07:26Z |
| format | Article |
| id | mit-1721.1/138047 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:07:26Z |
| publishDate | 2021 |
| publisher | IEEE |
| record_format | dspace |
| spelling | mit-1721.1/1380472021-11-10T03:27:16Z An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG Sharon, Rini A. Narayanan, Shrikanth Sur, Mriganka Murthy, Hema A. © 2019 IEEE. Clinical applicability of electroencephalography (EEG) is well established, however the use of EEG as a choice for constructing brain computer interfaces to develop communication platforms is relatively recent. To provide more natural means of communication, there is an increasing focus on bringing together speech and EEG signal processing. Quantifying the way our brain processes speech is one way of approaching the problem of speech recognition using brain waves. This paper analyses the feasibility of recognizing syllable level units by studying the temporal structure of speech reflected in the EEG signals. The slowly varying component of the delta band EEG(0.3-3Hz) is present in all other EEG frequency bands. Analysis shows that removing the delta trend in EEG signals results in signals that reveals syllable like structure. Using a 25 syllable framework, classification of EEG data obtained from 13 subjects yields promising results, underscoring the potential of revealing speech related temporal structure in EEG. 2021-11-09T19:12:57Z 2021-11-09T19:12:57Z 2019-05 2019-10-04T13:32:09Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/138047 Sharon, Rini A., Narayanan, Shrikanth, Sur, Mriganka and Murthy, Hema A. 2019. "An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG." en 10.1109/ICASSP.2019.8683572 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf IEEE Other repository |
| spellingShingle | Sharon, Rini A. Narayanan, Shrikanth Sur, Mriganka Murthy, Hema A. An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG |
| title | An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG |
| title_full | An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG |
| title_fullStr | An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG |
| title_full_unstemmed | An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG |
| title_short | An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG |
| title_sort | empirical study of speech processing in the brain by analyzing the temporal syllable structure in speech input induced eeg |
| url | https://hdl.handle.net/1721.1/138047 |
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