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 |
Files in This Item:
File | Description | Size | Format | |
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ZHANG-CHENHAN-THESIS.pdf | 5.32 MB | Adobe PDF | Request a copy |
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