100 results for "Speech Production Measurement" · page 4 of 10 · ranked by relevance
…Neocortical and hippocampal theta oscillations track audiovisual integration and replay of speech…
This dataset comprises neuroimaging data from two auditory experiments investigating the cortical encoding of sound source elevation in human subjects. Participants were presented with noise bursts from loudspeakers positioned at various elevations while undergoing behavioral testing and neural recording. The dataset includes localization tests, a deviant detection task (Experiment 1), and a one-back working memory task (Experiment 2), providing insights into how the human brain processes spatial auditory information.
This dataset comprises consolidated cEEGrid recordings from two attended speaker paradigm studies involving 36 participants (15 from Jaeger et al. 2020 and 21 from Holtze et al. 2021). Participants performed a dichotic listening task with competing audiobooks while instructed to attend to either the left or right speaker. The pooled dataset includes recordings under omnidirectional and beamforming acoustic conditions, providing a resource for investigating neural correlates of selective auditory attention using high-density EEG.
[ data from 41 participants across two studies investigating the relationship between eye blinks and attention during a competing speaker paradigm. Participants performed selective auditory attention tasks while listening to competing audiobooks, with experimental conditions varying between studies regarding sound presentation (omnidirectional versus beamforming). The dataset integrates EOG recordings from Jaeger et al. (2020) and Holtze et al. (2021) to enable comparative analysis of oculomotor behavior during dichotic listening tasks.
This dataset contains simultaneous EEG and MEG recordings from twenty adult participants presented with harmonic complex sound (HCS) stimuli varying in frequency, in an auditory oddball paradigm. The study investigates pre-attentive pitch processing at both sensor and source levels, comparing EEG and MEG responses. Data acquisition was conducted at the MEG Centre, Timone Hospital, Marseille, France.
This dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
MorseEEG-ATP is a multitask EEG dataset for investigating auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronously recorded EEG and behavioral data from 32 healthy adults performing two auditory discrimination tasks (dot-count and first-last match) across three presentation-rate conditions (15, 30, and 40 characters per minute). The dataset, organized in BIDS format, includes raw and minimally preprocessed EEG data, trial-aligned event annotations, behavioral measures, and analysis scripts to support research on temporal pattern discrimination and listening ability assessment.