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个人简介
My main research interest is to study and analyze the role of linguistic experience on speech processing using computational modeling techniques. Towards that end, I conduct interdisciplinary research at the intersection of linguistics, speech science, cognitive science, and machine learning. Currently, I am working with deep neural networks as a framework for modeling human speech processing and investigating whether their performance predicts human behavior on spoken-word processing tasks. I am also interested in representation learning for speech and NLP, information-theoretic approaches to the study of language, linguistic typology and language variation, and cross-language speech perception.
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2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)pp.1-8, (2023)
CoRR (2023): 11436-11440
CoRR (2023)
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BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP) (2021): 407-419
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