Thornton M, Mandic D, Reichenbach T (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2023-June
Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISBN: 9781728163277
DOI: 10.1109/ICASSP49357.2023.10096082
During speech perception, a listener's electroencephalogram (EEG) reflects acoustic-level processing as well as higher-level cognitive factors such as speech comprehension and attention. However, decoding speech from EEG recordings is challenging due to the low signal-to-noise ratios of EEG signals. We report on an approach developed for the ICASSP 2023 'Auditory EEG Decoding' Signal Processing Grand Challenge. A simple ensembling method is shown to considerably improve upon the baseline decoder performance. Even higher classification rates are achieved by jointly decoding the speech-evoked frequency-following response and responses to the temporal envelope of speech, as well as by fine-tuning the decoders to individual subjects. Our results could have applications in the diagnosis of hearing disorders or in cognitively steered hearing aids.
APA:
Thornton, M., Mandic, D., & Reichenbach, T. (2023). Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Rhodes Island, GR: Institute of Electrical and Electronics Engineers Inc..
MLA:
Thornton, Mike, Danilo Mandic, and Tobias Reichenbach. "Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR." Proceedings of the 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island Institute of Electrical and Electronics Engineers Inc., 2023.
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