MuseReduce: A Generic Framework for Hierarchical Music Analysis

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Natural Language Processing (NLP) has become increasingly utilized to provide adaptivity in educational applications. However, recent research has highlighted a variety of biases in pre-trained language models. While existing studies investigate bias in di ...

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Artificial intelligence and machine learning algorithms have become ubiquitous. Although they offer a wide range of benefits, their adoption in decision-critical fields is limited by their lack of interpretability, particularly with textual data. Moreover, ...

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Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches r ...

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This paper presents an overview of the epistemological grounding of the computational approach to musical syntax as a tool to advance our understanding of the cognitive underpinnings of the musical experience. From the proposed perspective, formulations of ...

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