CIRE: A Chinese EEG Dataset for decoding speech intention modulated by prosodic emotion
收藏科学数据银行2025-08-31 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=4fefa14727964e72a4ae47470b8eb144
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资源简介：
CIRE, an EEG dataset, on spoken language interaction intention featuring aligned textual expressions with divergent intentional meanings due to the differences in prosodic emotion. The dataset comprises preprocessed high-density (128-channel) EEG recordings from 38 participants engaged in comprehension of attitude-conveying speech stimuli, accompanied by Wav2vec2-derived acoustic embeddings of the listening materials. The high-density and high temporal resolution EEG data offer broader application areas, both in cognitive neuroscience and speech BCI, and can also contribute to the brain-inspired algorithms.
提供机构：
Jianwu Dang; Zhongjie Li; Shengrui He; Gaoyan Zhang; Yingyi Luo
创建时间：
2025-04-08
