Dancheng Liu

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling

Haolong Zheng, Yuanzhuo Hu, Xinyu Liang, Vishal Sunder, Dancheng Liu, Jinjun Xiong, et al.

CHILDES is a large-scale child speech corpus containing long-form recordings of naturalistic child-adult interactions, making it a valuable resource for studying child speech and language development. However, utterance-level timestamps provided in this corpus are often noisy, in…Read more