ASA: An Auditory Spatial Attention Dataset with Multiple Speaking Locations
Authors/Creators
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1.
National University of Singapore
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2.
Shenzhen Research Institute of Big Data
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3.
Chinese University of Hong Kong, Shenzhen
Description
This repository provides an EEG database and the corresponding source code for auditory spatial attention decoding (ASAD) research.
**Contents:**
- 64-channel EEG data: responses to two-speaker speech stimuli from 10 different locations (±90°, ±60°, ±45°, ±30°, and ±5°).
- Baseline model (CA-CNN) for ASAD, along with other models.
- Preprocessing, training and testing code for model evaluation.
- Visualization script for the dataset paper.
**For More Information:**
Refer to the paper "ASA: An Auditory Spatial Attention Dataset with Multiple Speaking Locations" for a detailed description of the dataset“, published in Interspeech 2024.
Notes
This research is supported by National Natural Science Foundation of China (Grant No. 62271432); Shenzhen Science and Technology Program ZDSYS20230626091302006; and Internal Project of Shenzhen Research Institute of Big Data (Grant No. T00120220002).
Files
db.zip
Files
(3.5 GB)
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Additional details
Identifiers
References
- Zijie Lin, Tianyu He, Siqi Cai and Haizhou Li, "ASA: An Auditory Spatial Attention Dataset with Multiple Speaking Locations," 2024 25th Interspeech Conference, Kos Island, Greece, 2024, pp. 1-5