3 accepted papers
This paper examines how linguistic similarity affects cross-lingual phonetic representation in speech processing for low-resource languages, emphasizing effective source language selection. Previous cross-lingual research has used various source languages to enhance performance for the target low-re…
Albeit great performance of Transformer-based speech self-supervised learning (SSL) models, their large parameter size and computational cost make them unfavorable to utilize. In this study, we propose to compress the speech SSL models by distilling speech temporal relation (STaR). Unlike previous w…
A well-trained acoustic model that effectively captures the characteristics of sound events is a critical factor to develop more reliable system for sound event classification. Deep neural network (DNN) which has an ability to extract discriminative representation of features can be a good candidate…