TAPS Dataset
Throat and Acoustic Pairing Speech Dataset for Deep Learning-Based Speech Enhancement
Large Scale Dataset
12.7 hours of training data with 5,000 paired utterances and 2.6 hours of evaluation data
Diverse Speakers
60 native Korean speakers with balanced gender distribution
High Quality
Synchronized recordings with professional equipment and careful post-processing
Latest Updates
January 2024
Dataset Release
Initial release of TAPS dataset with baseline models
December 2023
Paper Publication
Research paper accepted and published