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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01xp68kk557
Title: NLP Classification on English and Chinese Pop Music
Authors: Zhang, Chenhan
Advisors: Fellbaum, Christiane
Department: Computer Science
Class Year: 2024
Abstract: Through vocal melody extraction and midi conversion, this study isolates the pitches and rhythm as a tuple of event onsets of a large corpora of Chinese and English popular music (and the rap genre specifically). With language model classification (through self-trained word embedding layer as input to LSTM), the study will train a model to classify a given textual representation of a segment of vocal melody in the hope of proving the existence of the implicit rules behind writing and its intricate relationships with language and culture.
URI: http://arks.princeton.edu/ark:/88435/dsp01xp68kk557
Access Restrictions: Walk-in Access. This thesis can only be viewed on computer terminals at the Mudd Manuscript Library.
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Computer Science, 1987-2024

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