16 citations · 18 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.MM2023★ 2 cited
Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data
Kai Chieh Chang, Mark Hasegawa-Johnson, Nancy L. McElwain +1
Infant sleep is critical to brain and behavioral development. Prior studies on infant sleep/wake classification have been largely limited to reliance on expensive and burdensome po…
eess.AS2023★ 16 cited
Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio
Jialu Li, Mark Hasegawa-Johnson, Nancy L. McElwain
To perform automatic family audio analysis, past studies have collected recordings using phone, video, or audio-only recording devices like LENA, investigated supervised learning m…