Distributed Information Systems Laboratory LSIR

Lyrix: Fusing song lyrics

Project Details

Lyrix: Fusing song lyrics

Laboratory : LSIR Semester / Master Proposal




Description:

Scenario 1: Train a CBOW model on song lyrics of one genre, then remove random words from these lyrics, and predict the closest word from another genre (e.g., replace all the cursing words from rap songs with respective words from kid's songs). In order to achieve this, you will have to train different word embeddings by genre, and then align them (e.g., using MUSE).

Scenario 2: Style transfer from one genre to another (you can check the related work on images).

The project requires programming skills in Python. Relevant experience in Natural Language Processing and Deep Learning is preferred.


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Contact: Panayiotis Smeros
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