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MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus

Hassan, K M Naimul et al.
arXiv (All) · Papers
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human-computer-interactionsound
Humans rely on gaze, head movements, and visual cues to attend to speakers in noisy environments, yet auditory attention decoding (AAD) has been studied primarily using electroencephalography (EEG). We introduce the Multimodal Auditory-attention Egocentric Speech-TRacking Open (MAESTRO) corpus, the
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