AIMC Topic: Auditory Perception

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Bridging auditory perception and natural language processing with semantically informed deep neural networks.

Scientific reports Sep 9, 2024
Sound recognition is effortless for humans but poses a significant challenge for artificial hearing systems. Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have recently surpassed traditional machine learning in sound c...
Semantics Auditory Perception Deep Learning Natural Language Processing Sound Humans Neural Networks, Computer
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A developmental model of audio-visual attention (MAVA) for bimodal language learning in infants and robots.

Scientific reports Sep 3, 2024
A social individual needs to effectively manage the amount of complex information in his or her environment relative to his or her own purpose to obtain relevant information. This paper presents a neural architecture aiming to reproduce attention mec...
Humans Language Attention Learning Language Development Visual Perception Infant Auditory Perception Robotics
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Machine Learning Recognizes Frequency-Following Responses in American Adults: Effects of Reference Spectrogram and Stimulus Token.

Perceptual and motor skills Aug 16, 2024
Electrophysiological research has been widely utilized to study brain responses to acoustic stimuli. The frequency-following response (FFR), a non-invasive reflection of how the brain encodes acoustic stimuli, is a particularly propitious electrophys...
Machine Learning Female Young Adult Adult Speech Perception Humans Male Auditory Perception Electroencephalography Evoked Potentials, Auditory
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Subject-independent auditory spatial attention detection based on brain topology modeling and feature distribution alignment.

Hearing research Aug 14, 2024
Auditory spatial attention detection (ASAD) seeks to determine which speaker in a surround sound field a listener is focusing on based on the one's brain biosignals. Although existing studies have achieved ASAD from a single-trial electroencephalogra...
Sound Localization Auditory Perception Models, Neurological Electroencephalography Signal Processing, Computer-Assisted Humans Auditory Pathways Neural Networks, Computer Brain Waves Brain Attention Acoustic Stimulation
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Convolutional neural networks can identify brain interactions involved in decoding spatial auditory attention.

PLoS computational biology Aug 8, 2024
Human listeners have the ability to direct their attention to a single speaker in a multi-talker environment. The neural correlates of selective attention can be decoded from a single trial of electroencephalography (EEG) data. In this study, leverag...
Humans Neural Networks, Computer Brain Mapping Electroencephalography Attention Adult Brain Acoustic Stimulation Male Female Auditory Perception Computational Biology Young Adult
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DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection.

Neural networks : the official journal of the International Neural Network Society Jul 26, 2024
Auditory Attention Detection (AAD) aims to detect the target speaker from brain signals in a multi-speaker environment. Although EEG-based AAD methods have shown promising results in recent years, current approaches primarily rely on traditional conv...
Attention Acoustic Stimulation Auditory Perception Humans Brain Neural Networks, Computer Electroencephalography Algorithms
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Sensory Attenuation With a Virtual Robotic Arm Controlled Using Facial Movements.

IEEE transactions on visualization and computer graphics Jun 27, 2024
When humans generate stimuli voluntarily, they perceive the stimuli more weakly than those produced by others, which is called sensory attenuation (SA). SA has been investigated in various body parts, but it is unclear whether an extended body induce...
Female Young Adult Humans Computer Graphics Auditory Perception Robotics Face Adult Arm Movement Male Virtual Reality
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Spectro-temporal acoustical markers differentiate speech from song across cultures.

Nature communications Jun 6, 2024
Humans produce two forms of cognitively complex vocalizations: speech and song. It is debated whether these differ based primarily on culturally specific, learned features, or if acoustical features can reliably distinguish them. We study the spectro...
Cross-Cultural Comparison Music Auditory Perception Singing Speech Acoustics Sound Spectrography Adult Male Middle Aged Humans Machine Learning Female Young Adult
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Deep learning-based auditory attention decoding in listeners with hearing impairment.

Journal of neural engineering May 22, 2024
This study develops a deep learning (DL) method for fast auditory attention decoding (AAD) using electroencephalography (EEG) from listeners with hearing impairment (HI). It addresses three classification tasks: differentiating noise from speech-in-n...
Electroencephalography Humans Attention Adult Neural Networks, Computer Female Hearing Aids Male Aged Middle Aged Hearing Loss Deep Learning Speech Perception Noise Auditory Perception
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SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach.

Neural networks : the official journal of the International Neural Network Society May 7, 2024
The circuitry and pathways in the brains of humans and other species have long inspired researchers and system designers to develop accurate and efficient systems capable of solving real-world problems and responding in real-time. We propose the Syll...
Auditory Perception Humans Models, Neurological Neural Networks, Computer Neurons Learning Memory
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