基本信息
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Bio
My research is inherently interdisciplinary and has the common unifying thread of using state-of-the-art
signal processing, machine learning and visualization techniques to extract and analyze information from
audio signals with specific emphasis on music. By increasing the quantity and quality of what the computer
can “listen to” we can develop more effective tools for indexing and manipulating large audio collections
as well as improve musician-computer interactions.
signal processing, machine learning and visualization techniques to extract and analyze information from
audio signals with specific emphasis on music. By increasing the quantity and quality of what the computer
can “listen to” we can develop more effective tools for indexing and manipulating large audio collections
as well as improve musician-computer interactions.
Research Interests
Papers共 196 篇Author StatisticsCo-AuthorSimilar Experts
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Yichun Zhao,George Tzanetakis
CoRR (2024)
CoRR (2022): 125-145
semanticscholar(2021)
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