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Identifying auditory attention by comparing auditory stimuli and corresponding brain responses, is known as auditory attention decoding (AAD). The majority of AAD algorithms utilize the so-called envelope entrainment mechanism, whereby…

Signal Processing · Electrical Eng. & Systems 2024-10-29 Nhan Duc Thanh Nguyen , Huy Phan , Kaare Mikkelsen , Preben Kidmose

Many people with hearing loss struggle to comprehend speech in crowded auditory scenes, even when they are using hearing aids. It has recently been demonstrated that the focus of a listener's selective attention to speech can be decoded…

Audio and Speech Processing · Electrical Eng. & Systems 2024-11-18 Mike Thornton , Danilo Mandic , Tobias Reichenbach

Auditory Attention Decoding (AAD) can help to determine the identity of the attended speaker during an auditory selective attention task, by analyzing and processing measurements of electroencephalography (EEG) data. Most studies on AAD are…

Signal Processing · Electrical Eng. & Systems 2024-09-16 Haolin Zhu , Yujie Yan , Xiran Xu , Zhongshu Ge , Pei Tian , Xihong Wu , Jing Chen

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…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-14 Mike Thornton , Danilo Mandic , Tobias Reichenbach

People suffering from hearing impairment often have difficulties participating in conversations in so-called `cocktail party' scenarios with multiple people talking simultaneously. Although advanced algorithms exist to suppress background…

Electroencephalography (EEG) signals recordings when people reading natural languages are commonly used as a cognitive method to interpret human language understanding in neuroscience and psycholinguistics. Previous studies have…

Computation and Language · Computer Science 2021-03-30 Xinping Liu , Zehong Cao

Event-related potentials (ERP) are measurements of brain activity with wide applications in basic and clinical neuroscience, that are typically estimated using the average of many trials of electroencephalography signals (EEG) to…

Machine Learning · Computer Science 2025-12-01 Anders Vestergaard Nørskov , Kasper Jørgensen , Alexander Neergaard Zahid , Morten Mørup

Auditory attention decoding (AAD) identifies the attended speech stream in multi-speaker environments by decoding brain signals such as electroencephalography (EEG). This technology is essential for realizing smart hearing aids that address…

Signal Processing · Electrical Eng. & Systems 2026-01-26 Masahiro Yoshino , Haruki Yokota , Junya Hara , Yuichi Tanaka , Hiroshi Higashi

Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the brain's processing of specific cognitive tasks. ERP plays a…

Neural and Evolutionary Computing · Computer Science 2026-04-21 Yihe Wang , Zhiqiao Kang , Bohan Chen , Yu Zhang , Xiang Zhang

Current assistive hearing devices, such as hearing aids and cochlear implants, lack the ability to adapt to the listener's focus of auditory attention, limiting their effectiveness in complex acoustic environments like cocktail party…

Signal Processing · Electrical Eng. & Systems 2025-10-29 Simon Geirnaert , Simon L. Kappel , Preben Kidmose

Electroencephalography (EEG) recordings of brain activity taken while participants read or listen to language are widely used within the cognitive neuroscience and psycholinguistics communities as a tool to study language comprehension.…

Computation and Language · Computer Science 2019-11-05 Dan Schwartz , Tom Mitchell

Impact of EEG biofeedback on event-related potentials (ERPs) in attention-deficit hyperactivity (ADHD) children. Introduction: ADHD is one of the most widely spread condition of school aged children affecting 5% of children of this age.The…

Neurons and Cognition · Quantitative Biology 2011-01-31 Sophio Bakhtadze , Marine Janelidze , Nana Khachapuridze

Recent advances in reconstructing speech envelopes from Electroencephalogram (EEG) signals have enabled continuous auditory attention decoding (AAD) in multi-speaker environments. Most Deep Neural Network (DNN)-based envelope reconstruction…

Audio and Speech Processing · Electrical Eng. & Systems 2026-05-26 Yayun Liang , Yuanming Zhang , Fei Chen , Jing Lu , Zhibin Lin

Auditory attention decoding from electroencephalogram (EEG) could infer to which source the user is attending in noisy environments. Decoding algorithms and experimental paradigm designs are crucial for the development of technology in…

Machine Learning · Computer Science 2025-01-08 Keren Shi , Xu Liu , Xue Yuan , Haijie Shang , Ruiting Dai , Hanbin Wang , Yunfa Fu , Ning Jiang , Jiayuan He

Everyday communication is dynamic and multisensory, often involving shifting attention, overlapping speech and visual cues. Yet, most neural attention tracking studies are still limited to highly controlled lab settings, using clean, often…

Signal Processing · Electrical Eng. & Systems 2026-01-22 Johanna Wilroth , Oskar Keding , Martin A. Skoglund , Maria Sandsten , Martin Enqvist , Emina Alickovic

Recent promising results in auditory attention decoding (AAD) using scalp electroencephalography (EEG) have motivated the exploration of cEEGrid, a flexible and portable ear-EEG system. While prior cEEGrid-based studies have confirmed the…

Audio and Speech Processing · Electrical Eng. & Systems 2025-10-23 Yuanming Zhang , Zeyan Song , Jing Lu , Fei Chen , Zhibin Lin

The electroencephalogram (EEG) offers a non-invasive means by which a listener's auditory system may be monitored during continuous speech perception. Reliable auditory-EEG decoders could facilitate the objective diagnosis of hearing…

Audio and Speech Processing · Electrical Eng. & Systems 2023-12-18 Mike Thornton , Danilo Mandic , Tobias Reichenbach

Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talker environment using brain signals, typically recorded through electroencephalography (EEG). Over the past decade, AAD has undergone…

Sound · Computer Science 2025-07-08 Nhan Duc Thanh Nguyen , Huy Phan , Simon Geirnaert , Kaare Mikkelsen , Preben Kidmose

Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to specific mental…

Signal Processing · Electrical Eng. & Systems 2024-11-21 Mario Molina , Lorenzo J. Tardon , Ana M. Barbancho , Irene De-Torres , Isabel Barbancho

In a multi-speaker "cocktail party" scenario, a listener can selectively attend to a speaker of interest. Studies into the human auditory attention network demonstrate cortical entrainment to speech envelopes resulting in highly correlated…

Signal Processing · Electrical Eng. & Systems 2023-07-18 Richard Gall , Deniz Kocanaogullari , Murat Akcakaya , Deniz Erdogmus , Rajkumar Kubendran
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