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Martin A Skoglund

Showing results (1-10 of 13) with videos related to

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Frontiers in Neuroscience|November 21, 2024
Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairmentOskar Keding, Emina Alickovic, Martin A Skoglund, et al.
Journal of Neural Engineering|May 10, 2024
Deep learning-based auditory attention decoding in listeners with hearing impairment<sup></sup>M Asjid Tanveer, Martin A Skoglund, Bo Bernhardsson, et al.
Journal of Neural Engineering|June 9, 2025
Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learningGautam Sridhar, Sofía Boselli, Martin A Skoglund, et al.
Eneuro|January 29, 2025
Improving Tracking of Selective Attention in Hearing Aid Users: The Role of Noise Reduction and Nonlinearity CompensationJohanna Wilroth, Emina Alickovic, Martin A Skoglund, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Neural Speech Tracking with EEG: Integrating Acoustics and Linguistics for Hearing Aid UsersMartin A Skoglund, Klara Almgren, Annie Mentzer, et al.
Ear and Hearing|July 15, 2025
Speech-in-Noise Ability and Signal to Noise Ratio Predict the Timing of Hearing-Impaired Listeners' Intertalker Saccades When Observing Conversational Turn-Taking: An Explorative InvestigationMartha M Shiell, Sergi Rotger-Griful, Martin A Skoglund, et al.
Journal of Neural Engineering|November 21, 2023
Improving EEG-based decoding of the locus of auditory attention through domain adaptation<sup></sup>Johanna Wilroth, Bo Bernhardsson, Frida Heskebeck, et al.
The European Journal of Neuroscience|May 9, 2026
Neural Tracking of Sustained Attention, Attention Switching, and Natural Conversation in Audiovisual Environments Using Wearable EEGJohanna Wilroth, Oskar Keding, Martin A Skoglund, et al.
Frontiers in Digital Health|October 29, 2021
Activity Tracking Using Ear-Level AccelerometersMartin A Skoglund, Giovanni Balzi, Emil Lindegaard Jensen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Predicting EEG Responses to Attended Speech via Deep Neural Networks for SpeechEmina Alickovic, Tobias Dorszewski, Thomas U Christiansen, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroscience|November 21, 2024
Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairmentOskar Keding, Emina Alickovic, Martin A Skoglund, et al.
Journal of Neural Engineering|May 10, 2024
Deep learning-based auditory attention decoding in listeners with hearing impairment<sup></sup>M Asjid Tanveer, Martin A Skoglund, Bo Bernhardsson, et al.
Journal of Neural Engineering|June 9, 2025
Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learningGautam Sridhar, Sofía Boselli, Martin A Skoglund, et al.
Eneuro|January 29, 2025
Improving Tracking of Selective Attention in Hearing Aid Users: The Role of Noise Reduction and Nonlinearity CompensationJohanna Wilroth, Emina Alickovic, Martin A Skoglund, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Neural Speech Tracking with EEG: Integrating Acoustics and Linguistics for Hearing Aid UsersMartin A Skoglund, Klara Almgren, Annie Mentzer, et al.
Ear and Hearing|July 15, 2025
Speech-in-Noise Ability and Signal to Noise Ratio Predict the Timing of Hearing-Impaired Listeners' Intertalker Saccades When Observing Conversational Turn-Taking: An Explorative InvestigationMartha M Shiell, Sergi Rotger-Griful, Martin A Skoglund, et al.
Journal of Neural Engineering|November 21, 2023
Improving EEG-based decoding of the locus of auditory attention through domain adaptation<sup></sup>Johanna Wilroth, Bo Bernhardsson, Frida Heskebeck, et al.
The European Journal of Neuroscience|May 9, 2026
Neural Tracking of Sustained Attention, Attention Switching, and Natural Conversation in Audiovisual Environments Using Wearable EEGJohanna Wilroth, Oskar Keding, Martin A Skoglund, et al.
Frontiers in Digital Health|October 29, 2021
Activity Tracking Using Ear-Level AccelerometersMartin A Skoglund, Giovanni Balzi, Emil Lindegaard Jensen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Predicting EEG Responses to Attended Speech via Deep Neural Networks for SpeechEmina Alickovic, Tobias Dorszewski, Thomas U Christiansen, et al.
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