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Instrument Identification In Polyphonic Music: Feature Weighting With Mixed Sounds, Pitch-Dependent Timbre Modeling, And Use Of Musical Context

Tetsuro Kitahara, Masataka Goto, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno
2005 Zenodo  
Acknowledgements: This research was partially supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Grant-in-Aid for Scientific Research (A), No.15200015, and Informatics  ...  We thank everyone who has contributed to building and distributing the RWC Music Database [10, 11] .  ...  To achieve highly accurate MII in polyphonic music, it is essential to resolve three issues: feature variations caused by sound mixtures, the pitch dependency of timbres, and the use of musical context  ... 
doi:10.5281/zenodo.1415724 fatcat:6ww6yzndavcrdby3jcxd7chi2u

Instrument Identification in Polyphonic Music: Feature Weighting to Minimize Influence of Sound Overlaps

Tetsuro Kitahara, Masataka Goto, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno
2006 EURASIP Journal on Advances in Signal Processing  
We provide a new solution to the problem of feature variations caused by the overlapping of sounds in instrument identification in polyphonic music.  ...  Then, we generate feature axes using a weighted mixture that minimizes the influence via linear discriminant analysis. In addition, we improve instrument identification using musical context.  ...  If we can give higher weights to features suffering less from this problem and lower weights to features suffering more, it will facilitate robust instrument identification in polyphonic music.  ... 
doi:10.1155/2007/51979 fatcat:l4tc5vr5pvc7pcpy32mkmj5hgu

Signal Processing for Music Analysis

Meinard Muller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard
2011 IEEE Journal on Selected Topics in Signal Processing  
This paper provides an overview of some signal analysis techniques that specifically address musical dimensions such as melody, harmony, rhythm, and timbre.  ...  have been applied to music, often with good results.  ...  Source-Filter Model of Sound Production Let us now consider more structured models of musical timbre.  ... 
doi:10.1109/jstsp.2011.2112333 fatcat:qvrgekkhzfdkljxn4xbrahg6hu

Musical Timbre Perception [chapter]

Stephen McAdams
2013 The Psychology of Music  
used by listeners to compare sounds in an abstract way or to categorize or identify their physical source, to understanding the role that timbre can play in perceiving musical patterns and forms and shaping  ...  in music perception, including the effect of sound blending on the perception of timbre, timbre's role in the grouping of events into streams and musical patterns, the perception of timbral intervals,  ...  Acknowledgments The preparation of this chapter was supported by the Natural Sciences and Engineering Research Council and the Social Sciences and Humanities Research Council of Canada and the Canada Research  ... 
doi:10.1016/b978-0-12-381460-9.00002-x fatcat:3l7pmni6ynbndn5u7ioa7xuqt4

Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match [chapter]

Wenxin Jiang, Alicja Wieczorkowska, Zbigniew W. Raś
2009 Studies in Computational Intelligence  
Recognition and separation of sounds played by various instruments is very useful in labeling audio files with semantic information.  ...  In this paper, we describe all stages of this process, including sound parameterization, instrument identification, and also separation of layered sounds.  ...  Xin Zhang for many helpful discussions we had with her and for the comments she made which improved the quality and readability of the paper.  ... 
doi:10.1007/978-3-642-01533-5_10 fatcat:vvz6g67hbjc27girmb6xg57mpq

An Analytical Methodology For Acousmatic Music

David Hirst
2004 Zenodo  
Music is a meaningful and an emotional experience. Acousmatic music uses recordings of everyday sounds, recordings of instruments and synthesized sounds.  ...  Gygi's identification studies gives us a basis for isolating acoustic features of environmental sounds that we may want to single out for analysis.  ... 
doi:10.5281/zenodo.1415655 fatcat:fknspyseznc4fonsbknaclqanm

From musical analysis to musical expression

Oscar Mayor, Xavier Serra
2003 Zenodo  
In the first part, a state of the art of each of the topics I have been involved in is presented, from audio identification to musical instrument synthesis, including tempo tracking and rhythm perception  ...  This project presents an overview of my research work in the field of computer music since I had my first contact with it a few years ago.  ...  My friends at lunatik and all the people that have played music with me also deserve a great gratefulness.  ... 
doi:10.5281/zenodo.3739258 fatcat:sv4sx3lcsbejjltlhobmysdaza

Detection of genre-specific musical instruments: The case of the mellotron

Carlos G. Román Echeverri, Perfecto Herrera
2011 Zenodo  
The mellotron presents interesting technical and perceptual qualities, which make it ideal for the study of timbre descriptors in the context of automatic classification in polyphonic audio.  ...  This document addresses the problem of detection of musical instruments in polyphonic audio, exemplifying this specific task by analyzing the mellotron, a vintage sampler used in popular music.  ...  This overlapping of different sounds in polyphonic recordings makes the positive identification of individual pitches and onsets for every source a very difficult task.  ... 
doi:10.5281/zenodo.3754071 fatcat:b3mamyhnwrdjjbsqnceew55mse

Polyphonic Music Information Retrieval Based on Multi-label Cascade Classification System [chapter]

Wenxin Jiang, Amanda Cohen, Zbigniew W. Raś
2009 Studies in Computational Intelligence  
RAS) Recognition and separation of sounds played by various instruments is very useful in labeling audio files with semantic information.  ...  Polyphonic music information retrieval based on multi-label cascade classification system. (Under the direction of DR. ZBIGNIEW W.  ...  The drawbacks of the system include modeling in the location of a hit with a fixed context length instead of with a sound properties oriented context length, and limitation of features used in the experiment  ... 
doi:10.1007/978-3-642-04141-9_6 fatcat:7fek3uzphzcktewg75i7ider4m

"The way it Sounds": timbre models for analysis and retrieval of music signals

J.-J. Aucouturier, F. Pachet, M. Sandler
2005 IEEE transactions on multimedia  
An important attribute of a piece of polyphonic music is what is commonly referred to as "the way it sounds".  ...  While there has been a large quantity of research done to model the timbre of individual instruments, little work has been done to analyze "real world" timbre mixtures such as the ones found in popular  ...  MODELLING POLYPHONIC TIMBRE A. Previous Work About Timbre A lot of research in music signal processing has dealt with timbre.  ... 
doi:10.1109/tmm.2005.858380 fatcat:ltg6rarwtreuxmiihogi2jtxky

Music Retrieval: A Tutorial and Review

Nicola Orio
2006 Foundations and Trends in Information Retrieval  
A number of issues, which are peculiar to the music language, are described-including forms, formats, and dimensions of music-together with the typologies of users and their information needs.  ...  The increasing availability of music in digital format needs to be matched by the development of tools for music accessing, filtering, classification, and retrieval.  ...  Acknowledgments The author thanks his colleagues of the Information Management Systems Group at the Department of Information Engineering of the University of Padova, and in particular to Prof.  ... 
doi:10.1561/1500000002 fatcat:l34nymgv7rbmfbvb3pt2kwtyoe

Synergies between Musical Source Separation and Instrument Recognition

Juan José Bosch, Jordi Janer
2011 Zenodo  
, and 2) the automatic labeling of songs with the predominant music instruments.  ...  In the second task, source separation is used to divide the polyphonic audio signal into several streams, given as input to the instrument recognition models.  ...  Timbral features Timbre is the term used to differentiate sounds which have the same pitch, intensity, and duration.  ... 
doi:10.5281/zenodo.3753890 fatcat:sbmvvntdwnhp7czpnbpa3fa3p4

Classification in music research

Claus Weihs, Uwe Ligges, Fabian Mörchen, Daniel Müllensiefen
2007 Advances in Data Analysis and Classification  
Since some few years, classification in music research is a very broad and quickly growing field.  ...  In this paper we first discuss typical problems and possible influential features derived from signal analysis, mental mechanisms or concepts, and compositional structure.  ...  We thank three unknown referees and the editors for their valuable comments.  ... 
doi:10.1007/s11634-007-0016-x fatcat:36sv5netmrh43kj2j62dtyfzwi

Automatic Music Transcription: Breaking The Glass Ceiling

Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri
2012 Zenodo  
Instrument identification in a polyphonic context, as opposed to monophonic, is rendered difficult by the way the different sources blend with each other, with a high degree of overlap in the time-frequency  ...  In the context of source separation, Ozerov et al. [36] proposed a framework that enables the incorporation of prior knowledge about the number and types of sources, and the mixing model.  ... 
doi:10.5281/zenodo.1415088 fatcat:rfrzyhmfebaanppofxfcbxgei4

Automatic music transcription: challenges and future directions

Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri
2013 Journal of Intelligent Information Systems  
Current transcription methods use general purpose models which are unable to capture the rich diversity found in music signals.  ...  In this paper we analyse limitations of current methods and identify promising directions for future research.  ...  Instrument identification in a polyphonic context is rendered difficult by the way the different sources blend with each other, resulting in a high degree of overlap in the time-frequency domain.  ... 
doi:10.1007/s10844-013-0258-3 fatcat:olfkl6jj7jhl3nxcy6td6qgdj4
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