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My research primarily focuses on the domain of spoken language processing, encompassing areas such as speech synthesis, speech representation learning, and speech quality assessment. I am especially interested in the development of speech processing models that leverages a broad range of pre-existing data and foundation models. By doing so, these models can acquire a comprehensive understanding of diverse expressions, languages, prosody, and speaker individualities. This facilitates the creation of more natural and familiar artificial voice user interfaces.
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024): 11546-11550
IEEE ACM Trans. Audio Speech Lang. Process.no. 99 (2024): 1829-1844
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)pp.1-8, (2023)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023): 12351-12355
arxiv(2023)
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2022 IEEE Spoken Language Technology Workshop (SLT) (2023)
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