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Found 5 papers, 1 papers with code
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge
The 2024 ICASSP Auditory EEG Signal Processing Grand Challenge concerns the decoding of electroencephalography (EEG) measurements taken from participants who listened to speech material.
Decoding of Selective Attention to Speech From Ear-EEG Recordings
We show that typical neural responses to the speech envelope, as well as its onsets, can be recovered from such a device, and that the morphology of the recorded responses is indeed modulated by selective attention to speech.
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks
The electroencephalogram (EEG) offers a non-invasive means by which a listener's auditory system may be monitored during continuous speech perception.
Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots
The hybrid-face robot concept has been modified, implemented, and released in the commercial IoT robotic platform Miko (My Companion), an affective robot with facial and conversational features currently in use for human-robot interaction in children by Emotix Inc. We demonstrate that human EEG responses to Miko emotions are comparative to neurophysiological responses for actual human facial recognition.
Electroencephalogram (EEG)
Robotics
