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[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 …
Automatic chord estimation from audio: A review of the state of the art
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 …
The major contributions from the last 14 years of research are summarized, with detailed …
Automatic music transcription: challenges and future directions
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 …
music signal processing. However, the performance of transcription systems is still …
Signal processing for music analysis
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 …
speech signal processing, not least because many techniques and representations …
[PDF][PDF] State of the Art Report: Audio-Based Music Structure Analysis.
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 …
Jouni Paulus* (Fraunhofer Institute for Integrated Circuits IIS, Germany) Meinard Müller (Saarland …
[PDF][PDF] Approximate Note Transcription for the Improved Identification of Difficult Chords.
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 …
music computing task. The choice of chord profiles and higher-level time-series modelling …
Selective sampling for beat tracking evaluation
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 …
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 …
structure of music. Computational approaches to such structural analysis are still …
Unsupervised music structure annotation by time series structure features and segment similarity
Automatically inferring the structural properties of raw multimedia documents is essential in
today's digitized society. Given its hierarchical and multi-faceted organization, musical …
today's digitized society. Given its hierarchical and multi-faceted organization, musical …
20 years of automatic chord recognition from audio
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 …
System using Common Lisp Music. This paper kickstarted an active research topic that has …