Mark Hasegawa-Johnson

Study uses multi-data device to track infant sleep patterns more accurately.

This study enhances G2P models by focusing on error-prone areas during training.

A study on using machine learning to identify children's sounds for ASD assessment.

SpeechLLMs show promise but struggle with speaker identification in conversations.