16 citations · 16 across the 3 of their papers we have counts for
3 papers
eess.AS2023
Self-Supervised Acoustic Word Embedding Learning via Correspondence Transformer Encoder
Jingru Lin, Xianghu Yue, Junyi Ao +1
Acoustic word embeddings (AWEs) aims to map a variable-length speech segment into a fixed-dimensional representation. High-quality AWEs should be invariant to variations, such as d…
cs.CV2020
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
Jianan Wang, Boyang Li, Xiangyu Fan +2
The task of video and text sequence alignment is a prerequisite step toward joint understanding of movie videos and screenplays. However, supervised methods face the obstacle of li…
eess.AS2020★ 16 cited
Semi-supervised learning using teacher-student models for vocal melody extraction
Sangeun Kum, Jing-Hua Lin, Li Su +1
The lack of labeled data is a major obstacle in many music information retrieval tasks such as melody extraction, where labeling is extremely laborious or costly. Semi-supervised l…