Embeddings as representation for symbolic music

• URL: http://arxiv.org/abs/2005.09406v1
• Date: Tue, 19 May 2020 13:04:02 GMT
• Title: Embeddings as representation for symbolic music
• Authors: Sebastian Garcia-Valencia
• Abstract summary: A representation technique that allows encoding music in a way that contains musical meaning would improve the results of any model trained for computer music tasks. In this paper, we experiment with embeddings to represent musical notes from 3 different variations of a dataset and analyze if the model can capture useful musical patterns.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A representation technique that allows encoding music in a way that contains musical meaning would improve the results of any model trained for computer music tasks like generation of melodies and harmonies of better quality. The field of natural language processing has done a lot of work in finding a way to capture the semantic meaning of words and sentences, and word embeddings have successfully shown the capabilities for such a task. In this paper, we experiment with embeddings to represent musical notes from 3 different variations of a dataset and analyze if the model can capture useful musical patterns. To do this, the resulting embeddings are visualized in projections using the t-SNE technique.

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