Relevant bibliographies by topics / Computation in music

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Computation in music'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Computation in music"

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Syarif, Arry Maulana, Azhari Azhari, Suprapto Suprapto, and Khafiizh Hastuti. "Human and Computation-based Music Representation for Gamelan Music." Malaysian Journal Of Music 9 (November 20, 2020): 82–100. http://dx.doi.org/10.37134/mjm.vol9.7.2020.

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A public database containing representative data of karawitan traditional music is needed as a resource for researchers who study computer music and karawitan. To establish this database, a text-based pitch model for music representation that is both human and computer-based was first investigated. A new model of musical representation that can be read by humans and computers is proposed to support music and computer research on karawitan also known as gamelan music. The model is expected to serve as the initial effort to establish a public database of karawitan music representation data. The
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Volk, Anja, Elaine Chew, Elizabeth Hellmuth Margulis, and Christina Anagnostopoulou. "Music Similarity: Concepts, Cognition and Computation." Journal of New Music Research 45, no. 3 (2016): 207–9. http://dx.doi.org/10.1080/09298215.2016.1232412.

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Franklin, Judy A. "Recurrent Neural Networks for Music Computation." INFORMS Journal on Computing 18, no. 3 (2006): 321–38. http://dx.doi.org/10.1287/ijoc.1050.0131.

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Mont‐Reynaud, Bernard. "Spatialized computation in sound and music." Journal of the Acoustical Society of America 84, S1 (1988): S169. http://dx.doi.org/10.1121/1.2025952.

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Sevgen, Alpar. "Quantal computation of tonality in music." Journal of the Acoustical Society of America 122, no. 5 (2007): 3055. http://dx.doi.org/10.1121/1.2942891.

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Loughran, Róisín, and Michael O’Neill. "Evolutionary music: applying evolutionary computation to the art of creating music." Genetic Programming and Evolvable Machines 21, no. 1-2 (2020): 55–85. http://dx.doi.org/10.1007/s10710-020-09380-7.

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Lee, Kwan Hyeong, and Jae Hoon Lee. "On the Analysis Performance of Updating Weight for Estimation Target of Drone System." MATEC Web of Conferences 208 (2018): 03009. http://dx.doi.org/10.1051/matecconf/201820803009.

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In this paper, we propose the method which desired signal is estimated by updating the weight of the MVDR algorithm. The MUSIC algorithm is generally a lot of used in the direction of arrival estimation method. The MUSIC algorithm has a good resolution because of using subspace techniques consisting of a signal subspace and a noise subspace. The processor capability of drone system is required low power consumption and low computation complexity because it uses a microprocessor. If the drone system has a lot of computation complexity, the desired signal cannot be estimated. This paper study a
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Kim, Yongguk, Hae-Guy Park, and Heung-Gyoon Ryu. "A Computation Reduction Technique of MUSIC Algorithm for Optimal Path Tracking." Journal of Korea Information and Communications Society 39A, no. 4 (2014): 188–94. http://dx.doi.org/10.7840/kics.2014.39a.4.188.

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Chen, An-Che, and Chen-Shun Wen. "Effects of Background Music Style on Mathematical Computation and Reading Comprehension." International Journal for Innovation Education and Research 3, no. 12 (2015): 164–70. http://dx.doi.org/10.31686/ijier.vol3.iss12.497.

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Due to the increasing popularity of personal digital devices, many students listen to music while they study. It is however a controversial issue whether music listening is helpful to study performance. This study investigates the effects of different types of background music on study performance among college students through lab experiments. Two major categories of study activities - reading comprehension and mathematical computation - were examined for four different treatments of background music style (i.e., soft music, rock music, heavy metal music, and no music). For each student subje
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Yan, Feng-Gang, Jun Wang, Shuai Liu, Yi Shen, and Ming Jin. "Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations." International Journal of Antennas and Propagation 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/3284619.

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A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm for direction of arrival (DOA) estimation, in which both tasks of eigenvalue decomposition (EVD) and spectral search are implemented with efficient real-valued computations, leading to about 75% complexity reduction as compared to the standard MUSIC. Furthermore, the proposed technique has no dependence on array configurations and is hence suitable for arbitrary array geometries, which shows a significant implementation advantage over most state-of-the-art unita
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Dissertations / Theses on the topic "Computation in music"

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Hejl, Matouš. "Technics and Music : some remarks on the process of exteriorization in music." Thesis, Kungl. Musikhögskolan, Institutionen för komposition, dirigering och musikteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kmh:diva-2439.

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The delegating of thought, memory and action outside of the human body, inseparable from the process of individuation and identity formation, and the following implications for music establish an underlying theme of this text. It is a reflection on the process of "supplementation," of prosthetization or exteriorization in the recent and contemporary milieu of music making, in which nothing is any longer immediately at hand, where everything is found mediated and instrumentalized, technicized, unbalanced.
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Gouyon, Fabien. "A computational approach to rhythm description - Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing." Doctoral thesis, Universitat Pompeu Fabra, 2005. http://hdl.handle.net/10803/7484.

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Aquesta dissertació tracta del ritme musical. Més exactamente, tracta de programes informàtics que extreuen automàticament descripcions rítmiques a partir de senyals musicals d'àudio.<br/>Presentem nous algorismes per a la inducció del tempo, la estimació del "tatum," la determinació del compàs, la estimació de "swing," transformacions de "swing" i la classificació d'estils de música de ball. Aquests algorismes processen directament gravacions digitalitzades de senyals acústiques de música. La base d'aquests algorismes son funcions de periodicitat rítmica: es a dir, funcions que mesuren la imp
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Magalhaes, Martins Joao Pedro. "Emergent rhythmic structures as cultural phenomena driven by social pressure in a society of artificial agents." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1185.

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This thesis studies rhythm from an evolutionary computation perspective. Rhythm is the most fundamental dimension of music and can be used as a ground to describe the evolution of music. More specifically, the main goal of the thesis is to investigate how complex rhythmic structures evolve, subject to the cultural transmission between individuals in a society. The study is developed by means of computer modelling and simulations informed by evolutionary computation and artificial life (A-Life). In this process, self-organisation plays a fundamental role. The evolutionary process is steered by
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Hoover, Amy K. "Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6290.

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While it is important for systems intended to enhance musical creativity to define and explore musical ideas conceived by individual users, many limit musical freedom by focusing on maintaining musical structure, thereby impeding the user's freedom to explore his or her individual style. This dissertation presents a comprehensive body of work that introduces a new musical representation that allows users to explore a space of musical rules that are created from their own melodies. This representation, called functional scaffolding for musical composition (FSMC), exploits a simple yet powerful
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McLeod, Andrew Philip. "Language of music : a computational model of music interpretation." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31371.

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Automatic music transcription (AMT) is commonly defined as the process of converting an acoustic musical signal into some form of musical notation, and can be split into two separate phases: (1) multi-pitch detection, the conversion of an audio signal into a time-frequency representation similar to a MIDI file; and (2) converting from this time-frequency representation into a musical score. A substantial amount of AMT research in recent years has concentrated on multi-pitch detection, and yet, in the case of the transcription of polyphonic music, there has been little progress. There are many
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Panteli, Maria. "Computational analysis of world music corpora." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/36696.

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The comparison of world music cultures has been considered in musicological research since the end of the 19th century. Traditional methods from the field of comparative musicology typically involve the process of manual music annotation. While this provides expert knowledge, the manual input is timeconsuming and limits the potential for large-scale research. This thesis considers computational methods for the analysis and comparison of world music cultures. In particular, Music Information Retrieval (MIR) tools are developed for processing sound recordings, and data mining methods are conside
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Oberholtzer, Josiah W. "A Computational Model of Music Composition." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463123.

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This thesis documents my research into formalized score control, in order to demonstrate a computational model of music composition. When working computationally, models provide an explicit formal description of what objects exist within a given domain, how they behave, and what transformations they afford. The clearer the model becomes, the easier it is to extend and to construct increasingly higher-order abstractions around that model. In other words, a clear computational model of music notation affords the development of a clear model of music composition. The Abjad API for Formalized Scor
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Iniesta, Masmano Rosa. "Una relación dialógica improbable: Edgar Morin/Heinrich Schenker. Hacia una teoría de la complejidad para el sistema tonal." Doctoral thesis, Universitat de València, 2009. http://hdl.handle.net/10803/10007.

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La presente tesis toma como referencia principal el paradigma de la Complejidad deEdgar Morin y las teorías de Heinrich Schenker. Como emergencia del sistema humanomente/cerebro, el Arte en general y la música en particular son considerados desde la perspectivade las organizaciones de nuestro universo. Así, todos los acontecimientos/eventos que seproducen en el interior/exterior de una composición tonal, lo hacen en función de suantagonismo y complementariedad, siempre de forma concurrente, tal y como articula lasnociones Edgar Morin, consiguiendo superar, a través de la noción de bucle, la di
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Costa, César Rennó. "Controle de síntese sonora por analogia acústica e semântica aplicando computação bio-inspirada." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259090.

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Orientadores: Fernando José Von Zuben, Jônatas Manzolli<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-17T09:26:02Z (GMT). No. of bitstreams: 1 Costa_CesarRenno_M.pdf: 8817422 bytes, checksum: f05c86a8d8717568f1afd9da373b6a55 (MD5) Previous issue date: 2007<br>Resumo: Este trabalho sugere novos paradigmas de controle de mecanismos de síntese sonora. Utilizando conceitos das ciências cognitivas, o processo gerativo é modelado como um sistema de conversões entre representações, da atuação su
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Sordo, Mohamed. "Semantic annotation of music collections: A computational approach." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/79132.

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El consum de la música ha canviat dràsticament en els últims anys. Amb l’arribada de la música digital, el cost de producció s’ha reduït considerablement. L’expansió de la Web ha ajudat a promoure l’exploració de molt més contingut musical. Algunes botigues musicals on-line, com iTunes o Amazon, posseeixen milions de cançons a les seves col.leccions. No obstant, accedir a aquestes col.leccions d’una manera eficient és encara un gran repte. En aquesta tesis ens centrem en el problema d’anotar col.leccions musicals amb paraules semàntiques, també conegudes com tags. Els mètodes utilitzats
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Books on the topic "Computation in music"

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Yust, Jason, Jonathan Wild, and John Ashley Burgoyne, eds. Mathematics and Computation in Music. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39357-0.

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Klouche, Timour, and Thomas Noll, eds. Mathematics and Computation in Music. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04579-0.

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Collins, Tom, David Meredith, and Anja Volk, eds. Mathematics and Computation in Music. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20603-5.

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Agon, Carlos, Moreno Andreatta, Gérard Assayag, Emmanuel Amiot, Jean Bresson, and John Mandereau, eds. Mathematics and Computation in Music. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21590-2.

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Chew, Elaine, Adrian Childs, and Ching-Hua Chuan, eds. Mathematics and Computation in Music. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02394-1.

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Agustín-Aquino, Octavio A., Emilio Lluis-Puebla, and Mariana Montiel, eds. Mathematics and Computation in Music. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71827-9.

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Montiel, Mariana, Francisco Gomez-Martin, and Octavio A. Agustín-Aquino, eds. Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3.

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A-life for music: Music and computer models of living systems. A-R Editions, 2011.

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Elaine, Chew, Childs, Adrian P. (Adrian Phillip), 1971-, and Chuan Ching-Hua, eds. Mathematics and computation in music: Second international conference, MCM 2009, John Clough Memorial Conference, New Haven, CT, USA, June 19 - 22, 2009, proceedings. Springer, 2009.

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Agon, Carlos. Mathematics and Computation in Music: Third International Conference, MCM 2011, Paris, France, June 15-17, 2011. Proceedings. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Book chapters on the topic "Computation in music"

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Reis, Cecília, Viriato M. Marques, and J. A. Tenreiro Machado. "Music and Evolutionary Computation." In Nonlinear Science and Complexity. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-9884-9_38.

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Sandak, Billie, Avi Mazor, Amichay Asis, Avi Gilboa, and David Harel. "Computational Music Therapy." In Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3_31.

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Conklin, Darrell. "Music Corpus Analysis Using Unwords." In Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3_28.

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Chen, Liang, Rong Jin, and Christopher Raphael. "Renotation from Optical Music Recognition." In Mathematics and Computation in Music. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20603-5_2.

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Montiel, Mariana, Francisco Gomez-Martin, and Octavio A. Agustín-Aquino. "Correction to: Mathematics and Computation in Music." In Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3_37.

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Díaz-Báñez, José-Miguel, and Nadine Kroher. "Maths, Computation and Flamenco: Overview and Challenges." In Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3_29.

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Mannone, Maria. "Have Fun with Math and Music!" In Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3_33.

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Peck, Robert W. "Almost Difference Sets in Transformational Music Theory." In Mathematics and Computation in Music. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71827-9_6.

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Milne, Andrew J., and Andrea M. Calilhanna. "Teaching Music with Mathematics: A Pilot Study." In Mathematics and Computation in Music. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21392-3_34.

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Reybrouck, Mark. "The Musical Experience Between Measurement and Computation: From Symbolic Description to Morphodynamical Unfolding." In Computational Music Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47337-6_26.

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Conference papers on the topic "Computation in music"

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Marques, Viriato M., Cecilia Reis, and J. A. Tenreiro Machado. "Interactive Evolutionary Computation in music." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5642417.

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Morton, Brandon G., Jacquelin A. Speck, Erik M. Schmidt, and Youngmoo E. Kim. "Improving music emotion labeling using human computation." In the ACM SIGKDD Workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1837885.1837899.

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Cohen, Paul, and Geoff Nitschke. "Evolving music with emotional feedback." In GECCO '19: Genetic and Evolutionary Computation Conference. ACM, 2019. http://dx.doi.org/10.1145/3319619.3321883.

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Sopchoke, Sirawit, Ken-ichi Fukui, and Masayuki Numao. "Bisociative Serendipity Music Recommendation." In Seventh Workshop on Computation: Theory and Practice, WCTP 2017. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813279674_0014.

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Krasser, Johannes, Jakob Abeßer, Holger Großmann, Christian Dittmar, and Estefanía Cano. "Improved music similarity computation based on tone objects." In the 7th Audio Mostly Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2371456.2371464.

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Sunitha, M., and T. Adilakshmi. "Mobile based music recommendation system." In 2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016. http://dx.doi.org/10.1109/inventive.2016.7830183.

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Stoltz, Brae, and Alex Aravind. "MU_PSYC: Music Psychology Enriched Genetic Algorithm." In 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019. http://dx.doi.org/10.1109/cec.2019.8790099.

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Du, Wei, Hu Lin, Jianwei Sun, Bo Yu, and Haibo Yang. "Content-based music similarity computation with relevant component analysis." In 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2016. http://dx.doi.org/10.1109/cisp-bmei.2016.7852867.

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Youssef, Khalid, and Peng-Yung Woo. "Music Note Recognition Based on Neural Networks." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.831.

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Singh, Jagendra, and Mohammad Sajid. "Factorization Machine based Music Recommendation Approach." In 2021 6th International Conference on Inventive Computation Technologies (ICICT). IEEE, 2021. http://dx.doi.org/10.1109/icict50816.2021.9358578.

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