Word Representation for Rhythms
Tongyu Lu, Lyucheng Yan, Gus Xia
TL;DR
This paper introduces a novel word representation approach for rhythm patterns, utilizing a BERT model to analyze musical structures and meter clustering, framing music as a language for systematic understanding.
Contribution
It develops a rhythm word dictionary and applies BERT to explore rhythmic syntax, proposing a language-like perspective for music analysis.
Findings
Model effectively clusters different meters
Identifies overall music structures
Creates a comprehensive rhythm word dictionary
Abstract
This paper proposes a word representation strategy for rhythm patterns. Using 1034 pieces of Nottingham Dataset, a rhythm word dictionary whose size is 450 (without control tokens) is generated. BERT model is created to explore syntactic potentials of rhythm words. Our model is able to find overall music structures and cluster different meters. In a larger scheme, a think mode - music as language - is proposed for systematic considerations.
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Taxonomy
TopicsMusic and Audio Processing · Music Technology and Sound Studies · Topic Modeling
MethodsLinear Layer · WordPiece · Linear Warmup With Linear Decay · Refunds@Expedia|||How do I get a full refund from Expedia? · Attention Is All You Need · Dense Connections · Layer Normalization · Residual Connection · Adam · Multi-Head Attention