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Probabilistic model of two-dimensional rhythm tree structure representation for automatic transcription of polyphonic MIDI signals

Masato Tsuchiya, Kazuki Ochiai, Hirokazu Kameoka, Shigeki Sagayama
2013 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  
This paper proposes a Bayesian approach for automatic music transcription of polyphonic MIDI signals based on generative modeling of onset occurrences of musical notes.  ...  tempo curve is generated and the sub-process by which a set of note onset positions is generated based on a 2-dimensional rhythm tree structure representation of music, and develop a parameter inference  ...  ACKNOWLEDGMENT This research was funded in part by Ministry of Education, Culture, Sports, Science and Technology (MEXT) / Japan Science and Technology Agency (JST) contract 23240021.  ... 
doi:10.1109/apsipa.2013.6694308 dblp:conf/apsipa/TsuchiyaOKS13 fatcat:5z2oeazzq5dsbgtf6n4emsg7oa

A graphical model for chord progressions embedded in a psychoacoustic space

Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber
2005 Proceedings of the 22nd international conference on Machine learning - ICML '05  
Various model architectures are compared in terms of conditional outof-sample likelihood.  ...  In this paper, a distributed representation for chords is designed such that Euclidean distances roughly correspond to psychoacoustic dissimilarities.  ...  This work was supported in part by the IST Program of the European Community, under the PASCAL Network of Excellence, IST-2002-506778, funded in part by the Swiss Federal Office for Education and Science  ... 
doi:10.1145/1102351.1102432 dblp:conf/icml/PaiementEBB05 fatcat:utwdjcimezbxln3iqt2eczwuzy

Polyphonic music retrieval

Shyamala Doraisamy
2005 SIGIR Forum  
For this, ratios of onset times between two adjacent pairs of pitch events are used.  ...  These encoding approaches enable encoding of the pitch and rhythm information at various levels of coarseness.  ...  The retrieval model used by Lemur for structured retrieval is based on the probabilistic model.  ... 
doi:10.1145/1067268.1067289 fatcat:6kh6aflmnjgvlnr2zwtpn32oxi

Note Value Recognition for Piano Transcription Using Markov Random Fields

Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon
2017 IEEE/ACM Transactions on Audio Speech and Language Processing  
This paper presents a statistical method for use in music transcription that can estimate score times of note onsets and offsets from polyphonic MIDI performance signals.  ...  We also confirmed that, in our model, the score model plays a more important role than the performance model, and it automatically captures the voice structure by unsupervised learning.  ...  Nakamura would like to thank Shinji Takaki for useful discussions about context-tree clustering.  ... 
doi:10.1109/taslp.2017.2722103 fatcat:2q4gekbw3nd3hphzvmba6pko2a

Automatic music transcription: challenges and future directions

Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri
2013 Journal of Intelligent Information Systems  
Automatic music transcription is considered by many to be a key enabling technology in music signal processing.  ...  Current transcription methods use general purpose models which are unable to capture the rich diversity found in music signals.  ...  spectrograms that simultaneously extracts the notes and the structure of a piece based on a 2-dimensional hierarchical tree-structured Bayesian model.  ... 
doi:10.1007/s10844-013-0258-3 fatcat:olfkl6jj7jhl3nxcy6td6qgdj4

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions [article]

Shulei Ji, Jing Luo, Xinyu Yang
2020 arXiv   pre-print
Previous surveys have explored the network models employed in the field of automatic music generation.  ...  In addition, we summarize the datasets suitable for diverse tasks, discuss the music representations, the evaluation methods as well as the challenges under different levels, and finally point out several  ...  [103] proposed a novel tree-structure extension model called PianoTree VAE, which is suitable for learning polyphonic music.  ... 
arXiv:2011.06801v1 fatcat:cixou3d2jzertlcpb7kb5x5ery

Artificial Musical Intelligence: A Survey [article]

Elad Liebman, Peter Stone
2020 arXiv   pre-print
Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and retrieval have made music an increasingly prevalent domain of machine learning and artificial  ...  This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in  ...  Kapanci and Pfeffer explored the related notion of graphical models for signal-to-score music transcription, modeling different aspects of the music such as rhythm and pitch as first-order Gaussian processes  ... 
arXiv:2006.10553v1 fatcat:2j6i27wrsfawpgcr2unxdgngd4

Signal Processing for Music Analysis

Meinard Muller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard
2011 IEEE Journal on Selected Topics in Signal Processing  
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 originally developed for speech  ...  This paper provides an overview of some signal analysis techniques that specifically address musical dimensions such as melody, harmony, rhythm, and timbre.  ...  As an illustration, Fig. 16 shows the spectrograms of a polyphonic music signal and of the bass-line resynthesized from its estimated MIDI transcription. E.  ... 
doi:10.1109/jstsp.2011.2112333 fatcat:qvrgekkhzfdkljxn4xbrahg6hu

Probabilistic and Logic-Based Modelling of Harmony [chapter]

Simon Dixon, Matthias Mauch, Amélie Anglade
2011 Lecture Notes in Computer Science  
Many computational models of music fail to capture essential aspects of the high-level musical structure and context, and this limits their usefulness, particularly for musically informed users.  ...  The first is a chord transcription system which uses a high-level model of musical context in which chord, key, metrical position, bass note, chroma features and repetition structure are integrated in  ...  of Alicante, who provided the Band in a Box data.  ... 
doi:10.1007/978-3-642-23126-1_1 fatcat:rdgzo3yfzrhonkagfm6mw3jjkm

A Roadmap Towards Versatile Mir

Emmanuel Vincent, Stanislaw Andrzej Raczynski, Nobutaka Ono, Shigeki Sagayama
2010 Zenodo  
Yet, other strong implications also arise regarding the need for a coordinated effort and the definition of MIREX tasks and data.  ...  We provided a feasible roadmap towards a complete MIR system, emphasizing challenges such as scalable parameterization and unsupervised model selection.  ...  Efficient graph formats exist for the representation of posterior distributions of symbolic feature sequences [6] , but they must yet be extended to e.g. polyphonic note sequences.  ... 
doi:10.5281/zenodo.1418140 fatcat:fzvagi7yzbaodgrc4squshs7uy

Melodic Description of Audio Signals for Music Content Processing

Emilia Gómez, Xavier Serra
2002 Zenodo  
The goal of this work is to review how melodic aspects of music are represented in computer applications, and how these representations are extracted from audio signals.  ...  We will also implement and evaluate some techniques for extracting some of these melodic features.  ...  Acknowledgements Acknowledgments The authors would like to thank the members of the Music Technology Group for their help and support.  ... 
doi:10.5281/zenodo.3736232 fatcat:c67m2kwsffac3huwkx7y3s4gly

Music Retrieval: A Tutorial and Review

Nicola Orio
2006 Foundations and Trends in Information Retrieval  
The increasing availability of music in digital format needs to be matched by the development of tools for music accessing, filtering, classification, and retrieval.  ...  An overview of the techniques for music processing, which are commonly exploited in many approaches, is also presented.  ...  Many thanks to the anonymous reviewers, for their valuable suggestions to improve the content and the structure of the paper and for contributing to additional references to relevant research work.  ... 
doi:10.1561/1500000002 fatcat:l34nymgv7rbmfbvb3pt2kwtyoe

Classification in music research

Claus Weihs, Uwe Ligges, Fabian Mörchen, Daniel Müllensiefen
2007 Advances in Data Analysis and Classification  
Then, we present typical solutions of such tasks related to music research, namely for organization of music collections, transcription of music signals, cognitive psychology of music, and compositional  ...  structure analysis.  ...  We thank three unknown referees and the editors for their valuable comments.  ... 
doi:10.1007/s11634-007-0016-x fatcat:36sv5netmrh43kj2j62dtyfzwi

Rhythmic arrangement from finger-tapping audio signals

Javier Nistal, Sergi Jordà, Perfecto Herrera
2016 Zenodo  
Results of this experiment suggested that there are two clear ways for finger-tapping depending on the music training of the performer.  ...  Therefore, we describe a system for finger-tapping transcription as an underlying step in the usage of this behavior as a mean for improving humancomputer interaction in the context [...]  ...  We understand that the first step to accomplish, previous to implementing any kind of rhythm arrangement, is to generate a MIDI-like symbolic representation of human finger-tapping signals.  ... 
doi:10.5281/zenodo.3755587 fatcat:w4pcnbg7tfhuxatwvjner24mei

Detecting and Describing Percussive Events in Polyphonic Music

Martin Haro, Perfecto Herrera
2008 Zenodo  
The present thesis deals with the automatic description of percussive events in "real world" polyphonic music.  ...  Then we evaluate the binary models within a whole drum transcription system achieving comparable results with state of the art algorithms.  ...  Acknowledgements First of all I would like to thank Perfecto Herrera for his constant support during the whole process of the thesis. Without his guidance this work could not be done.  ... 
doi:10.5281/zenodo.3744770 fatcat:ygwpor72vzdelk5jelzmlb7j2y
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