[HTML][HTML] Audio-based music structure analysis: Current trends, open challenges, and applications

O Nieto, GJ Mysore, C Wang, JBL Smith… - Transactions of the …, 2020 - transactions.ismir.net
With recent advances in the field of music informatics, approaches to audio-based music
structural analysis have matured considerably, allowing researchers to reassess the …

Automatic chord estimation from audio: A review of the state of the art

M McVicar, R Santos-Rodríguez, Y Ni… - … /ACM Transactions on …, 2014 - ieeexplore.ieee.org
In this overview article, we review research on the task of Automatic Chord Estimation (ACE).
The major contributions from the last 14 years of research are summarized, with detailed …

Automatic music transcription: challenges and future directions

E Benetos, S Dixon, D Giannoulis, H Kirchhoff… - Journal of Intelligent …, 2013 - Springer
Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

Signal processing for music analysis

M Muller, DPW Ellis, A Klapuri… - IEEE Journal of selected …, 2011 - ieeexplore.ieee.org
Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

[PDF][PDF] State of the Art Report: Audio-Based Music Structure Analysis.

J Paulus, M Müller, A Klapuri - Ismir, 2010 - paulus.kapsi.fi
Folie 1 Page 1 Paulus, Müller, Klapuri – Audio-Based Music Structure Analysis – ISMIR 2010
Jouni Paulus* (Fraunhofer Institute for Integrated Circuits IIS, Germany) Meinard Müller (Saarland …

[PDF][PDF] Approximate Note Transcription for the Improved Identification of Difficult Chords.

M Mauch, S Dixon - ISMIR, 2010 - researchgate.net
The automatic detection and transcription of musical chords from audio is an established
music computing task. The choice of chord profiles and higher-level time-series modelling …

Selective sampling for beat tracking evaluation

A Holzapfel, MEP Davies, JR Zapata… - … on Audio, Speech …, 2012 - ieeexplore.ieee.org
In this paper, we propose a method that can identify challenging music samples for beat
tracking without ground truth. Our method, motivated by the machine learning method …

[PDF][PDF] Harmony Transformer: Incorporating chord segmentation into harmony recognition

TP Chen, L Su - Neural Netw, 2019 - archives.ismir.net
Musical harmony analysis is usually a process of unfolding and interpreting the hierarchical
structure of music. Computational approaches to such structural analysis are still …

Unsupervised music structure annotation by time series structure features and segment similarity

J Serra, M Müller, P Grosche… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Automatically inferring the structural properties of raw multimedia documents is essential in
today's digitized society. Given its hierarchical and multi-faceted organization, musical …

20 years of automatic chord recognition from audio

J Pauwels, K O'hanlon, E Gómez Gutiérrez, M Sandler - 2019 - repositori.upf.edu
Resum In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a
System using Common Lisp Music. This paper kickstarted an active research topic that has …