[HTML][HTML] Audio-based music structure analysis: Current trends, open challenges, and applications
With recent advances in the field of music informatics, approaches to audio-based music
structural analysis have matured considerably, allowing researchers to reassess the …
structural analysis have matured considerably, allowing researchers to reassess the …
[PDF][PDF] Systematic exploration of computational music structure research.
Systematic Exploration of Computational Music Structure Research Page 1 Systematic
Exploration of Computational Music Structure Research Oriol Nieto Juan Pablo Bello New York …
Exploration of Computational Music Structure Research Oriol Nieto Juan Pablo Bello New York …
[PDF][PDF] Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations.
The determination of structural boundaries is a key task for understanding the structure of a
musical piece, but it is also highly ambiguous. Recently, Convolutional Neural Networks …
musical piece, but it is also highly ambiguous. Recently, Convolutional Neural Networks …
Separation of Overlap** Audio Signals: A Review on Current Trends and Evolving Approaches
K Nath, KK Sarma - Signal Processing, 2024 - Elsevier
Separating the signals from the mixture when the signals share same frequency and time
domain pattern is always a matter of concern. In natural environment, sound events often …
domain pattern is always a matter of concern. In natural environment, sound events often …
Unsupervised learning of deep features for music segmentation
MC McCallum - … 2019-2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Music segmentation refers to the dual problem of identifying boundaries between, and
labeling, distinct music segments, eg, the chorus, verse, bridge etc. in popular music. The …
labeling, distinct music segments, eg, the chorus, verse, bridge etc. in popular music. The …
Supervised metric learning for music structure features
Music structure analysis (MSA) methods traditionally search for musically meaningful
patterns in audio: homogeneity, repetition, novelty, and segment-length regularity. Hand …
patterns in audio: homogeneity, repetition, novelty, and segment-length regularity. Hand …
[PDF][PDF] The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music.
We introduce the Harmonix set: a collection of annotations of beats, downbeats, and
functional segmentation for over 900 full tracks that covers a wide range of western popular …
functional segmentation for over 900 full tracks that covers a wide range of western popular …
Early MFCC and HPCP fusion for robust cover song identification
CJ Tralie - arxiv preprint arxiv:1707.04680, 2017 - arxiv.org
While most schemes for automatic cover song identification have focused on note-based
features such as HPCP and chord profiles, a few recent papers surprisingly showed that …
features such as HPCP and chord profiles, a few recent papers surprisingly showed that …
Cover song identification with 2d fourier transform sequences
We approach cover song identification using a novel time-series representation of audio
based on the 2DFT. The audio is represented as a sequence of magnitude 2D Fourier …
based on the 2DFT. The audio is represented as a sequence of magnitude 2D Fourier …
Evaluating hierarchical structure in music annotations
Music exhibits structure at multiple scales, ranging from motifs to large-scale functional
components. When inferring the structure of a piece, different listeners may attend to …
components. When inferring the structure of a piece, different listeners may attend to …