To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions
Conventional music structure analysis algorithms aim to divide a song into segments and to
group them with abstract labels (eg,'A','B', and 'C'). However, explicitly identifying the function …
group them with abstract labels (eg,'A','B', and 'C'). However, explicitly identifying the function …
Learning multi-level representations for hierarchical music structure analysis
Recent work in music structure analysis has shown the potential of deep features to highlight
the underlying structure of music audio signals. Despite promising results achieved by such …
the underlying structure of music audio signals. Despite promising results achieved by such …
All-in-one metrical and functional structure analysis with neighborhood attentions on demixed audio
Music is characterized by complex hierarchical structures. Developing a comprehensive
model to capture these structures has been a significant challenge in the field of Music …
model to capture these structures has been a significant challenge in the field of Music …
Pitchclass2vec: Symbolic music structure segmentation with chord embeddings
Structure perception is a fundamental aspect of music cognition in humans. Historically, the
hierarchical organization of music into structures served as a narrative device for conveying …
hierarchical organization of music into structures served as a narrative device for conveying …
[PDF][PDF] A Cross-Version Approach to Audio Representation Learning for Orchestral Music.
Deep learning systems have become popular for tackling a variety of music information
retrieval tasks. However, these systems often require large amounts of labeled data for …
retrieval tasks. However, these systems often require large amounts of labeled data for …
Self-similarity-based and novelty-based loss for music structure analysis
G Peeters - arXiv preprint arXiv:2309.02243, 2023 - arxiv.org
Music Structure Analysis (MSA) is the task aiming at identifying musical segments that
compose a music track and possibly label them based on their similarity. In this paper we …
compose a music track and possibly label them based on their similarity. In this paper we …
Self-Supervised Learning of Multi-level Audio Representations for Music Segmentation
The task of music structure analysis refers to automatically identifying the location and the
nature of musical sections within a song. In the supervised scenario, structural annotations …
nature of musical sections within a song. In the supervised scenario, structural annotations …
[HTML][HTML] Interpretability of Methods for Switch Point Detection in Electronic Dance Music
Switch points are a specific kind of cue point that DJs carefully look for when mixing music
tracks. As the name says, a switch point is the point in time where the current track in a DJ …
tracks. As the name says, a switch point is the point in time where the current track in a DJ …
Barwise compression schemes for audio-based music structure analysis
Music Structure Analysis (MSA) consists in segmenting a music piece in several distinct
sections. We approach MSA within a compression framework, under the hypothesis that the …
sections. We approach MSA within a compression framework, under the hypothesis that the …
SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss
G Peeters, F Angulo - arXiv preprint arXiv:2211.08141, 2022 - arxiv.org
In this paper, we propose a new paradigm to learn audio features for Music Structure
Analysis (MSA). We train a deep encoder to learn features such that the Self-Similarity …
Analysis (MSA). We train a deep encoder to learn features such that the Self-Similarity …