Inner Speech
…Conditions = Inner Speech, Pronounced Speech, Visualized Condition Classes = "Arriba/Up", "Abajo/Down…
- Participants
- 10
- Citations
- 73
- Size
- 24.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
64 results for "speech production" · page 4 of 7 · ranked by relevance
…Conditions = Inner Speech, Pronounced Speech, Visualized Condition Classes = "Arriba/Up", "Abajo/Down…
…Neocortical and hippocampal theta oscillations track audiovisual integration and replay of speech…
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.
This dataset comprises pooled electrooculography (EOG) 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.
[ recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
…set to the mean f0s used for the speech The code for…
This dataset comprises EEG recordings from 25 participants performing a two-competing speaker paradigm where subjects attended to one of two simultaneously presented audiobooks while their own name was embedded in the ignored stream. The experiment consisted of five 10-minute blocks presented under omnidirectional and beamforming acoustic conditions to investigate neural mechanisms of selective attention and self-referential processing in cocktail party listening scenarios.