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Journal articles on the topic 'Computation in music'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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9

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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10

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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Wang, Xiao Yao, Guo Jun Zhang, Pan Pan Wang, Xi Bao Liu, and Wen Dong Zhang. "Research of Modified MUSIC Algorithm Based on Vector Matrix." Advanced Materials Research 403-408 (November 2011): 250–55. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.250.

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Processing the matrix signals of vector hydrophone was critical to the research on engineering application of vector matrix. However, such processing required massive computation. Accordingly, a vector matrix based modification of MUSIC algorithm was introduced to solve such issue. The said modification lowered computation amount by applying the Wiener Filter in MUSIC algorithm to skip decomposition of eigenvalues. The method of vector hydrophone Uniform Linear Array (ULA) was adopted to test the performance of the modified algorithm. The computer simulated outcome has verified the effectivene

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12

Wang, Lanmei, Le Yang, Guibao Wang, Zhihai Chen, and Minggao Zou. "Uni-Vector-Sensor Dimensionality Reduction MUSIC Algorithm for DOA and Polarization Estimation." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/682472.

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This paper addresses the problem of multiple signal classification- (MUSIC-) based direction of arrival (DOA) and polarization estimation and proposes a new dimensionality reduction MUSIC (DR-MUSIC) algorithm. Uni-vector-sensor MUSIC algorithm provides estimation for DOA and polarization; accordingly, a four-dimensional peak search is required, which hence incurs vast amount of computation. In the proposed DR-MUSIC method, the signal steering vector is expressed in the product form of arrival angle function matrix and polarization function vector. The MUSIC joint spectrum is converted to the f

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13

Yan, Feng-Gang, Shuai Liu, Jun Wang, and Ming Jin. "Two-Step Root-MUSIC for Direction of Arrival Estimation without EVD/SVD Computation." International Journal of Antennas and Propagation 2018 (August 6, 2018): 1–8. http://dx.doi.org/10.1155/2018/9695326.

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Most popular techniques for super-resolution direction of arrival (DOA) estimation rely on an eigen-decomposition (EVD) or a singular value decomposition (SVD) computation to determine the signal/noise subspace, which is computationally expensive for real-time applications. A two-step root multiple signal classification (TS-root-MUSIC) algorithm is proposed to avoid the complex EVD/SVD computation using a uniform linear array (ULA) based on a mild assumption that the number of signals is less than half that of sensors. The ULA is divided into two subarrays, and three noise-free cross-correlati

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14

Schoofs, A., F. Van Asperen, P. Maas, and A. Lehr. "I. Computation of Bell Profiles Using Structural Optimization." Music Perception 4, no. 3 (1987): 245–54. http://dx.doi.org/10.2307/40285368.

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This article describes the design of the profile for a major-third bell using structural optimization strategies. First a sequential linear programming method was used to find a prototype of the bell. The necessary analyses were done using the finite element method. Next, a fast analysis model was derived by numerical experimental design techniques. This analysis model led to the final geometry of the major-third bell.

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Huang, Guang Ya, Xiao Fei Deng, Fan Bin Meng, and Ping Yuan Liang. "Unitary Transformed DOA Estimation Algorithm Based on Modified Propagator Method." Applied Mechanics and Materials 303-306 (February 2013): 2033–37. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2033.

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The modified propagator method(MPM) improves the performances of DOA estimation, but compared with the propagator method (PM), the computational loads increase, especially under large number of antenna array elements condition. This paper studies the principle of using unitary transform to rearrange the propagator, and proposes unitary transformed MPM(UMPM) in order to decrease the computational loads by real-valued computation. The simulation results show that the proposed algorithm can achieve superior precision and lower computational loads than PM, MUSIC and MPM.

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16

Chen, Hui, Kai Chen, Kaifeng Cheng, Qinyu Chen, Yuxiang Fu, and Li Li. "An Efficient Hardware Accelerator for the MUSIC Algorithm." Electronics 8, no. 5 (2019): 511. http://dx.doi.org/10.3390/electronics8050511.

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As a classical DOA (direction of arrival) estimation algorithm, the multiple signal classification (MUSIC) algorithm can estimate the direction of signal incidence. A major bottleneck in the application of this algorithm is the large computation amount, so accelerating the algorithm to meet the requirements of high real-time and high precision is the focus. In this paper, we design an efficient and reconfigurable accelerator to implement the MUSIC algorithm. Initially, we propose a hardware-friendly MUSIC algorithm without the eigenstructure decomposition of the covariance matrix, which is tim

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17

Zhengdong Du, Ping Wei, Shan Zhou, and Qin He. "A Fast Computation Method for MUSIC Spectrum Function of MUSIC Algorithm in Any Circular Array." Journal of Convergence Information Technology 8, no. 1 (2013): 35–43. http://dx.doi.org/10.4156/jcit.vol8.issue1.5.

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18

Das, Sourav, and Anup Kumar Kolya. "Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation." International Journal of Distributed Artificial Intelligence 12, no. 2 (2020): 1–20. http://dx.doi.org/10.4018/ijdai.2020070101.

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In this work, the authors extract information on distinct baseline features from a popular open-source music corpus and explore new recognition techniques by applying unsupervised Hebbian learning techniques on our single-layer neural network using the same dataset. They show the detailed empirical findings to simulate how such an algorithm can help a single layer feedforward network in training for music feature learning as patterns. The unsupervised training algorithm enhances the proposed neural network to achieve an accuracy of 90.36% for successful music feature detection. For comparative

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19

Selva, J. "Computation of spectral and root MUSIC through real polynomial rooting." IEEE Transactions on Signal Processing 53, no. 5 (2005): 1923–27. http://dx.doi.org/10.1109/tsp.2005.845489.

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20

Bragg, Jonathan, and Cheng-Zhi Anna Huang. "Mathematics and Computation in Music 2009: John Clough Memorial Conference." Computer Music Journal 34, no. 1 (2010): 100–102. http://dx.doi.org/10.1162/comj.2010.34.1.100.

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21

Smith, Jordan, and Isaac Schankler. "The Third International Conference on Mathematics and Computation in Music." Computer Music Journal 35, no. 4 (2011): 98–99. http://dx.doi.org/10.1162/comj_r_00093.

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22

Bovermann, Till, and Dave Griffiths. "Computation as Material in Live Coding." Computer Music Journal 38, no. 1 (2014): 40–53. http://dx.doi.org/10.1162/comj_a_00228.

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What does computation sound like, and how can computational processing be integrated into live-coding practice along with code? This article gives insights into three years of artistic research and performance practice with Betablocker, an imaginary central processing unit architecture, specifically designed and implemented for live-coding purposes. It covers the themes of algorithmic composition, sound generation, genetic programming, and autonomous coding in the light of self-manipulating code and artistic research practice.

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23

Wang, Xuecheng, and Jinquan Ma. "An improved algorithm for multiple source direction of arrival estimation." MATEC Web of Conferences 173 (2018): 03028. http://dx.doi.org/10.1051/matecconf/201817303028.

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Based on MUSIC-LIKE algorithm, an improved algorithm for multiple source direction of arrival estimation was proposed to resolve the problem, the enabled estimation number of source for traditional direction of arrival estimation algorithm restricted by the size of the antenna array. The computations and the matrix dimension were reduced by constructed new fourth cumulate matrix, the number of direction estimation was increased by smoothing computation snapshots based on MFOCMUSIC algorithm. The spatial spectrum measuring error was decreased by smoothing the virtual array extended by fourth or

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24

Kirke, Alexis. "Programming gate-based hardware quantum computers for music." Muzikologija, no. 24 (2018): 21–37. http://dx.doi.org/10.2298/muz1824021k.

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There have been significant attempts previously to use the equations of quantum mechanics for generating sound, and to sonify simulated quantum processes. For new forms of computation to be utilized in computer music, eventually hardware must be utilized. This has rarely happened with quantum computer music. One reason for this is that it is currently not easy to get access to such hardware. A second is that the hardware available requires some understanding of quantum computing theory. This paper moves forward the process by utilizing two hardware quantum computation systems: IBMQASM v1.1 and

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25

Worrall, David. "Editorial: Computation in the Sonic Arts." Organised Sound 25, no. 1 (2020): 1–3. http://dx.doi.org/10.1017/s1355771819000402.

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26

Zhou, Hao. "Study on Improvement of MUSIC Estimation Method." Applied Mechanics and Materials 543-547 (March 2014): 2750–54. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2750.

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MUSIC algorithm is a subspace decomposition method whose high resolution capability and other aspects of its performance have been investigated widely. Application of MUSIC algorithm to DOA (direction-of-arrival) estimation is of massive computation and requires that the number of signals must be known to partition the space into signal subspace and noise subspace. Moreover, the algorithm does not make use of information on the intensity of signals. This paper deeply investigates the theory of MUSIC algorithm and proposes a modification method which overcomes the disadvantages above. Finally,

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27

Zhou, Hao, and Zhi Jie Huo. "Study on Resolution Capability of Beam Space MUSIC Estimation Algorithm." Advanced Materials Research 945-949 (June 2014): 2106–10. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2106.

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Hydrophone arrays are generally used in modern sonar systems in which beam forming plays an important role. This paper analyzes the beam space MUSIC (multiple signal classification) algorithm for the weakly correlated sources according to changes in the statistical properties of signal and noise, then estimates the azimuth of multi-sources using array element space MUSIC algorithm and beam space MUSIC algorithm accurately, respectively. Finally, problems such as the computation cost of the algorithms, SNR resolution threshold and estimation deviation are discussed based on simulation tests. A

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28

Miranda, Eduardo Reck. "At the Crossroads of Evolutionary Computation and Music: Self-Programming Synthesizers, Swarm Orchestras and the Origins of Melody." Evolutionary Computation 12, no. 2 (2004): 137–58. http://dx.doi.org/10.1162/106365604773955120.

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This paper introduces three approaches to using Evolutionary Computation (EC) in Music (namely, engineering, creative and musicological approaches) and discusses examples of representative systems that have been developed within the last decade, with emphasis on more recent and innovative works. We begin by reviewing engineering applications of EC in Music Technology such as Genetic Algorithms and Cellular Automata sound synthesis, followed by an introduction to applications where EC has been used to generate musical compositions. Next, we introduce ongoing research into EC models to study the

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29

Du, Zhengdong, and Ping Wei. "A fast computation method for MUSIC spectrum function based on circular arrays." International Journal of Electronics 102, no. 2 (2014): 260–68. http://dx.doi.org/10.1080/00207217.2014.896046.

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30

Bigo, Louis. "MCM 2013: The Fourth International Conference on Mathematics and Computation in Music." Computer Music Journal 38, no. 3 (2014): 76–77. http://dx.doi.org/10.1162/comj_r_00259.

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31

Lazzarini, Victor. "Parallel computation of time-varying convolution." Journal of New Music Research 49, no. 5 (2020): 403–15. http://dx.doi.org/10.1080/09298215.2020.1810280.

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32

Hao, Yiya, Yaobin Chen, Weiwei Zhang, Gong Chen, and Liang Ruan. "A real-time music detection method based on convolutional neural network using Mel-spectrogram and spectral flux." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 5910–18. http://dx.doi.org/10.3397/in-2021-11599.

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Audio processing, including speech enhancement system, improves speech intelligibility and quality in real-time communication (RTC) such as online meetings and online education. However, such processing, primarily noise suppression and automatic gain control, is harmful to music quality when the captured signal is music instead of speech. A music detector can solve the issue above by switching off the speech processing when the music is detected. In RTC scenarios, the music detector should be low-complexity and cover various situations, including different types of music, background noises, an

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Moroni, Artemis, Jônatas Manzolli, Fernando Von Zuben, and Ricardo Gudwin. "Vox Populi: An Interactive Evolutionary System for Algorithmic Music Composition." Leonardo Music Journal 10 (December 2000): 49–54. http://dx.doi.org/10.1162/096112100570602.

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While recent techniques of digital sound synthesis have put numerous new sounds on the musician's desktop, several artificial-intelligence (AI) techniques have also been applied to algorithmic composition. This article introduces Vox Populi, a system based on evolutionary computation techniques for composing music in real time. In Vox Populi, a population of chords codified according to MIDI protocol evolves through the application of genetic algorithms to maximize a fitness criterion based on physical factors relevant to music. Graphical controls allow the user to manipulate fitness and sound

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34

Allingham, Emma, and Christopher Corcoran. "Report on the 10th International Conference of Students of Systematic Musicology (SysMus17)." Music & Science 1 (January 1, 2018): 205920431774171. http://dx.doi.org/10.1177/2059204317741717.

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The 10th annual International Conference of Students of Systematic Musicology (SysMus) took place on September 13–15, 2017, at Queen Mary University of London (UoL). The SysMus series has established itself as an international, student-run conference series aimed at introducing graduate students to networking and discussing their work in an academic conference environment. The term “Systematic Musicology,” first coined by Guido Adler (1885), nowadays covers a wide range of systematic or empirical approaches to theoretical, psychological, neuroscientific, ethnographic, and computational methodo

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35

Yan, Feng-Gang, Liu Shuai, Jun Wang, Jun Shi, and Ming Jin. "Real-valued root-MUSIC for DOA estimation with reduced-dimension EVD/SVD computation." Signal Processing 152 (November 2018): 1–12. http://dx.doi.org/10.1016/j.sigpro.2018.05.009.

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36

Feng, Shan, Rajneesh Suri, and Monique Bell. "Does Classical Music Relieve Math Anxiety? Role of Tempo on Price Computation Avoidance." Psychology & Marketing 31, no. 7 (2014): 489–99. http://dx.doi.org/10.1002/mar.20710.

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37

McCabe, Donna. "Second Annual Intensive Workshop in Sound Computation." Computer Music Journal 17, no. 1 (1993): 70. http://dx.doi.org/10.2307/3680574.

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38

Cui, Yuan, Shan Gao, and Junpeng Zhang. "ITERATIVE MUSIC FOR HIGHLY CORRELATED EEG/MEG SOURCE LOCALIZATION." Biomedical Engineering: Applications, Basis and Communications 25, no. 02 (2013): 1350019. http://dx.doi.org/10.4015/s1016237213500191.

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This study presented an iterative MUSIC (Multiple Signal Classification) for highly correlated EEG source localization. By suppressing the equivalent false source, the approximate true source location information was obtained. And then, by iteratively suppressing source found in the last iteration, eventually, both of the sources were identified. The method is designed to tackle highly correlated sources, for example, bilateral activations at primary auditory/auditory cortices, at which cases conventional MUSIC has difficulty. Compared with other similar methods, the presented one needs less c

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Tahıroğlu, Koray, Thor Magnusson, Adam Parkinson, Iris Garrelfs, and Atau Tanaka. "Digital Musical Instruments as Probes: How computation changes the mode-of-being of musical instruments." Organised Sound 25, no. 1 (2020): 64–74. http://dx.doi.org/10.1017/s1355771819000475.

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This article explores how computation opens up possibilities for new musical practices to emerge through technology design. Using the notion of the cultural probe as a lens, we consider the digital musical instrument as an experimental device that yields findings across the fields of music, sociology and acoustics. As part of an artistic-research methodology, the instrumental object as a probe is offered as a means for artists to answer questions that are often formulated outside semantic language. This article considers how computation plays an important role in the authors’ personal performa

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40

Martino, Jacquelyn A. "The Immediacy of the Artist's Mark in Shape Computation." Leonardo 43, no. 4 (2010): 330–39. http://dx.doi.org/10.1162/leon_a_00006.

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This paper contributes to the area of computation in the production of artistic form. The author-artist describes a computational system in the form of a curvilinear, parametric shape grammar. Based on an analysis of over 3,000 entries in her traditionally hand-drawn sketchbooks, she describes the grammar that synthesizes drawings in the design language of her evolving style and serves as a tool for self-understanding of her artistic process.

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Miranda, Eduardo Reck. "On the Music of Emergent Behavior: What Can Evolutionary Computation Bring to the Musician?" Leonardo 36, no. 1 (2003): 55–59. http://dx.doi.org/10.1162/002409403321152329.

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In this article, the author focuses on issues concerning musical composition practices in which emergent behavior is used to generate musical material, musical form or both. The author gives special attention to the potential of cellular automata and adaptive imitation games for music-making. The article begins by presenting two case-study systems, followed by an assessment of their role in the composition of a number of pieces. It then continues with a discussion in which the author suggests that adaptive imitation games may hold the key to fostering more effective links between evolutionary

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Jordan, Ryan. "DIY Electronics: Revealing the Material Systems of Computation." Leonardo Music Journal 25 (December 2015): 41–46. http://dx.doi.org/10.1162/lmj_a_00933.

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The author sets out an extension of do-it-yourself (DIY) electronics as a literal critical practice addressing the social, economic and geological systems shaping technologies we use, presenting several real-world examples and concluding with future directions.

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Zamani, Reza. "Combining evolutionary computation with the variable neighbourhood search in creating an artificial music composer." Connection Science 31, no. 3 (2019): 267–93. http://dx.doi.org/10.1080/09540091.2019.1603200.

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Manaris, Bill, Dana Hughes, and Yiorgos Vassilandonakis. "Monterey Mirror: an experiment in interactive music performance combining evolutionary computation and Zipf’s law." Evolutionary Intelligence 8, no. 1 (2014): 23–35. http://dx.doi.org/10.1007/s12065-014-0118-2.

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Xu, Tengxian, Xianpeng Wang, Mengxing Huang, Xiang Lan, and Lu Sun. "Tensor-Based Reduced-Dimension MUSIC Method for Parameter Estimation in Monostatic FDA-MIMO Radar." Remote Sensing 13, no. 18 (2021): 3772. http://dx.doi.org/10.3390/rs13183772.

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Frequency diverse array (FDA) radar has attracted much attention due to the angle and range dependence of the beam pattern. Multiple-input-multiple-output (MIMO) radar has high degrees of freedom (DOF) and spatial resolution. The FDA-MIMO radar, a hybrid of FDA and MIMO radar, can be used for target parameter estimation. This paper investigates a tensor-based reduced-dimension multiple signal classification (MUSIC) method, which is used for target parameter estimation in the FDA-MIMO radar. The existing subspace methods deteriorate quickly in performance with small samples and a low signal-to-

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46

Kirke, Alexis. "Application of Musical Computing to Creating a Dynamic Reconfigurable Multilayered Chamber Orchestra Composition." Leonardo Music Journal 29 (December 2019): 55–61. http://dx.doi.org/10.1162/lmj_a_01064.

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With increasing virtualization and the recognition that today’s virtual computers are faster than hardware computers of 10 years ago, modes of computation are now limited only by the imagination. Pulsed Melodic Affective Processing (PMAP) is an unconventional computation protocol that makes affective computation more human-friendly by making it audible. Data sounds like the emotion it carries. PMAP has been demonstrated in nonmusical applications, e.g. quantum computer entanglement and stock market trading. This article presents a musical application and demonstration of PMAP: a dynamic reconf

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Zhang, Zhenghao, Yongteng Zhong, and Jiawei Xiang. "TAM and MUSIC Approach for Impact-Source Localization under Deformation Conditions." Sensors 20, no. 11 (2020): 3151. http://dx.doi.org/10.3390/s20113151.

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As an impact-source-localization technique, Lamb waves are commonly used to detect low-velocity impact in composite structures. However, the performance of Lamb waves is susceptible under deformation conditions. In this paper, a novel approach combined the Toeplitz approximation method (TAM) and multiple-signal classification (MUSIC) (TAM-MUSIC) to improve impact-source-localization (angle and distance in polar coordinates) accuracy under deformation conditions. The method divided a two-dimensional search of direction and distance into two one-dimensional searches. The impact direction was cal

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Wang, Xiaohui, Dion Hoe-Lian Goh, Ee-Peng Lim, and Adrian Wei Liang Vu. "Understanding the determinants of human computation game acceptance." Online Information Review 40, no. 4 (2016): 481–96. http://dx.doi.org/10.1108/oir-06-2015-0203.

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Purpose – Human computation games (HCGs) that blend gaming with utilitarian purposes are a potentially effective channel for content creation. The purpose of this paper is to investigate the driving factors behind players’ adoption of HCGs through a music video tagging game. The effects of perceived aesthetic experience (PAE) and perceived output quality (POQ) on HCG acceptance are empirically examined. Design/methodology/approach – An integrative structural model is developed to explain how hedonic and utilitarian factors, including PAE and POQ, working with another salient factor – perceived

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Cemgil, A. T., and B. Kappen. "Monte Carlo Methods for Tempo Tracking and Rhythm Quantization." Journal of Artificial Intelligence Research 18 (January 1, 2003): 45–81. http://dx.doi.org/10.1613/jair.1121.

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We present a probabilistic generative model for timing deviations in expressive music performance. The structure of the proposed model is equivalent to a switching state space model. The switch variables correspond to discrete note locations as in a musical score. The continuous hidden variables denote the tempo. We formulate two well known music recognition problems, namely tempo tracking and automatic transcription (rhythm quantization) as filtering and maximum a posteriori (MAP) state estimation tasks. Exact computation of posterior features such as the MAP state is intractable in this mode

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Fukumoto, Makoto, Shuta Nakashima, Shintaro Ogawa, and Jun-ichi Imai. "An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progression." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 9 (2011): 1329–36. http://dx.doi.org/10.20965/jaciii.2011.p1329.

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Abstract:

Interactive Evolutionary Computation (IEC) is known as an efficient method to create media content suited to the individual user. To reduce user’s fatigue, which remains as a serious problem in IEC, extended IEC that uses physiological information as a fitness value have been proposed. As a new extended IEC, this study proposed extended IEC using Heart Rate Variability (HRV), which reflects autonomic nervous activity. A High Frequency (HF) component of HRV was used as the fitness value. Two listening experiments were conducted to determine the efficacy of the proposed method. In experiment 1,

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