Sound And Music Technology (INFOMSMT) 2017-2018

Literature

In this overview you can find lots of literature suggestions for further reading into topics from the course that you are interested in. Mandatory are the articles of the student presentations as listed on the week by week guide.

Topic A

A. Baratè, M. G. Bergomi, L. A. Ludovico. (2013) Development of Serious Games for Music Education. Journal of e-Learning and Knowledge Society, v.9, n.2, 89-104. http://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/viewFile/834/822

Casey, M. A., Veltkamp, R., Goto, M., Leman, M., Rhodes, C., and Slaney, M. (2008). Content-Based Music Information Retrieval: Current Directions and Future Challenges. Proceedings of the IEEE, Vol. 96, No, 4. http://slaney.org/malcolm/yahoo/Casey2008-ContentBasedMIR-IEEEProc.pdf

Collins, K. (2008). Game Sound: An Introduction to the History, Theory and Practice of Video Game Music and Sound Design. MIT Press, Cambridge, MA.

Collins, K. (2011) From Pac-Man to Pop Music: Interactive Audio in Games and New Media. Aldershot, UK and Burlington, VT: Ashgate Press.

Douglas, A. (2002): Sound of Music: The Form, Function, and History in Video Games. http://www.stanford.edu/group/htgg/cgi-bin/drupal/?q=node/493

Huiberts, S. (2010) Captivating sound: The role of audio for immersion in computer games. PhD thesis Utrecht School of the Arts & University of Portsmouth. http://captivatingsound.com/

Jørgensen, K. (2009): A Comprehensive Study of Sound in Computer Games: How Audio Affects Player Action. Mellen Press.

Juslin, P. & Sloboda, J. (eds.) (2010). Handbook of Music and Emotion: Theory, Research, Applications. Oxford University Press, Oxford.

Juslin, P. & VŠästfjäŠll, D. (2008). Emotional responses to music: The need to consider underlying mechanisms. Behavioral and brain science, (2008) 31, 559-621 doi:10.1017/S0140525X08005293 http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=2335396

Y. Kim, E. Schmidt, L. Emelle (2008), Moodswings: a collaborative game for music mood label collection , ISMIR 2008.

B.G. Morton, J.A. Speck, E.M. Schmidt, Y.E. Kim (2010), Improving music emotion labeling using human computation Workshop Proceedings - Human Computation Workshop 2010, HCOMP2010 01/2010

Morton, S. (2005) Enhancing the impact of music in Drama-Oriented Games. http://www.gamasutra.com/view/feature/2189/enhancing_the_impact_of_music_in_.php

P. Richardson & Y. Kim (2011): Beyond Fun and Games: A Framework for Quantifying Music Skill Developments from Video Game Play, Journal of New Music Research, Vol 40, No. 4, 277-291. http://www.tandfonline.com/doi/pdf/10.1080/09298215.2011.565350

Toprac, P. and Abdel-Meguid, A. (2011). Causing fear, suspense, and anxiety using sound design in computer games. In: Mark Grimshaw (ed.), Game Sound Technology and Player Interaction: Concepts and Developments (Hershey, PA), 176-191. http://www.igi-global.com.proxy.library.uu.nl/gateway/chapter/full-text-pdf/46792

Topic B

Bod, R. (2001). Memory-based models of melodic analysis: Challenging the gestalt principles. Journal of New Music Research, 31(1): 27-36. http://www.phil.uu.nl/ozsl/articles/Bod03.pdf

Cambouropoulos, E, (2006). Musical parallelism and melodic segmentation. Music Perception, 23(3): 249-268. http://www.jstor.org/stable/10.1525/mp.2006.23.3.249

Collins, T., Arzt, A., Frostel, H., Widmer, G., (2015) Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora , in: D. Meredith (editor): Computational Music Analysis, Springer.

Conklin, D. (2013). Multiple Viewpoint Systems for Music Classification. Journal of New Music Research, 42 (1): 19-26. 10.1080/09298215.2013.776611

Eerola, T. (2011). Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres. Journal of New Music Research,Vol 40 (4). http://www.tandfonline.com/doi/full/10.1080/09298215.2011.602195#.VRo_MDuUcgk

Ellis, D. (2007) Beat Tracking by Dynamic Programming, J. New Music Research, Special Issue on Beat and Tempo Extraction, vol. 36 no. 1, March 2007, pp. 51-60. DOI: 10.1080/09298210701653344 http://www.tandfonline.com/doi/abs/10.1080/09298210701653344#.U1bLsMezP34

T. M. Esparza, J.P. Bello, E.J. Humphrey (2015), From Genre Classification to Rhythm Similarity: Computational and Musicological Insights. Journal of New Music Research, 44 (1), 39-57.DOI:10.1080/09298215.2014.929706

M. Grachten, J.L. Arcos, R. Lopez de Mantaras (2004) Melodic similarity: Looking for a good abstraction level. In Proceedings ISMIR 2004. http://digital.csic.es/bitstream/10261/3163/1/ismir04.pdf

Haitsma & Kalker (2002), A Highly Robust Audio Fingerprinting System, Proceedings of ISMIR, 2002. http://ismir2002.ismir.net/proceedings/02-FP04-2.pdf

Holzapfel, A. (2014), Relation Between Surface Rhythm and Rhythmic Modes in Turkish Makam Music, Journal of New Music Research, 44:1, 25-38, DOI: 10.1080/09298215.2014.939661

Hu, X., Downie, J. & Ehmann, A. (2009). "Lyric Text Mining in Music Mood Classification." In Proceedings of the 10th International Society for Music Information Retrieval Conference. Kobe, Japan. October 26-30. pp. 411-416. http://ismir2009.ismir.net/proceedings/PS3-4.pdf

Mauch, M., MacCallum, R., Levy, M., Leroi, A.M. (2015) The Evolution of Popular Music: USA 1960-2010. Proceedings of the National Academy of Sciences of the United States of America. http://arxiv.org/pdf/1502.05417v1.pdf

Van Kranenburg, P., Volk, A., Wiering, F. (2012) On operationalizing the musicological concept of tune family for computational modeling. Proceedings of Supporting Digital Humanities 2012. http://depot.knaw.nl/9775/1/pvankranenburg_paper_sdh2011.pdf

P. van Kranenburg, A. Volk, F. Wiering (2013), A comparison between global and local features for computational classification of folk song melodies, Journal of New Music Research,Vol. 42 (1),1-18. http://www.cs.uu.nl/groups/MG/multimedia/publications/art/jnmr2013.pdf

Lerch, A. (2012): An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics, 2012, Wiley-IEEE Press. http://www.audiocontentanalysis.org/

M. Mauch, S. Dixon, C. Harte, M. Casey, B. Fields (2007). Discovering Chord Idioms Through Beatles and Real Book Songs. In Proceedings ISMIR 2007. http://ismir2007.ismir.net/proceedings/ISMIR2007_p255_mauch.pdf

M. Mauch, K. Noland, S. Dixon (2009). Using Musical Structure to Enhance Automatic Chord Transcription. In Proceedings ISMIR 2009. http://ismir2009.ismir.net/proceedings/PS2-7.pdf

M.Mauch, R.M.MacCallum, M.Levy, A.M.Leroi (2015), The Evolution of Popular Music: USA 1960–2010 . Royal Society Open Science.

McKinney, M. F., D. Moelants, M. E. P. Davies, A. Klapuri (2007). Evaluation of Audio Beat Tracking and Music Tempo Extraction Algorithms. Journal of New Music Research, 36(1): 1-16. http://www.music.mcgill.ca/~ich/classes/mumt621_09/presentations/wingate/27406232.pdf

Müller, M., Jiang, N., Grosche, P. (2013), A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing, IEEE Transactions on Audio, Speech, and language processing, VOL. 21, NO. 3.

Park, T. H. (2010): Introduction to Digital Signal Processing: Computer Musically Speaking, World Scientific Publishing, Singapore.

J. Poulus, M. MŸüller, and A. Klapuri (2010). State of the art report: Audio-based music structure analysis. In Proceedings of the 11th ISMIR, 625-36. http://ismir2010.ismir.net/proceedings/ismir2010-107.pdf

M. Rodriguez-Lopez (2016), Repetition Based Melody Segmentation. (Chapter from PhD thesis on Melody Segmentation).

J. Salamon, E. G—ómez, D. P. W. Ellis and G. Richard (2014), "Melody Extraction from Polyphonic Music Signals: Approaches, Applications and Challenges", IEEE Signal Processing Magazine, 31(2):118-134. http://www.justinsalamon.com/uploads/4/3/9/4/4394963/salamon_gomez_ellis_richard_melodyextractionreview_ieeespm_2013.pdf

E. M. Schmidt, D. Turnbull, and Y. E. Kim (2010), Feature Selection for Content-based, Time-varying Musical Emotion Regression, in Proceedings of the International Conference on Multimedia Information Retrieval, New York, NY, USA, 2010, pp. 267-274. http://music.ece.drexel.edu/files/Navigation/Publications/schmidt2010.pdf

J. Serrà, Á. Corral, M. Boguñá, M. Haro and J. Ll. Arcos, (2012), Measuring the Evolution of Contemporary Western Popular Music , Nature Scientific Reports 2, Article number: 521 (2012).

J. Serrˆà, E. Gó—mez, P. Herrera, and X. Serra (2008). Chroma binary similarity and local alignment applied to cover song identification. IEEE Trans. on Audio, Speech and Language Processing 16(6): 1138-1152. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4523006

B. Sturm (2012), A Survey of Evaluation in Music Genre Recognition, International Workshop on Adaptive Multimedia Retrieval. http://vbn.aau.dk/ws/files/71878148/Sturm20121212.pdf

Temperley, D. (2004), An Evaluation System for Metrical Models, Computer Music Journal, 28:3. http://www.jstor.org/stable/3681507

Tzanetakis, G. & Cook, P. (2002): Musical genre classification of audio signals. IEEE Trans. Speech Audio Process. 10(5), 293-302. http://dspace.library.uvic.ca:8080/bitstream/handle/1828/1344/tsap02gtzan.pdf?sequence=1

Ullrich, K., Schlüter, J. and Grill, T. "Boundary Detection in Music Structure Analysis using Convolutional Neural Networks." Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014), Taipei, Taiwan. 2014. http://www.terasoft.com.tw/conf/ismir2014/proceedings/T075_271_Paper.pdf

Volk, A. & Honingh, A. (2012). Mathematical and computational approaches to music: chsallenges in an interdisciplinary enterprise. Journal of Mathematics and Music, 6(2), 73-81. http://www.tandfonline.com/doi/pdf/10.1080/17459737.2012.704154

Wang, A. (2003), An Industrial-Strength Audio Search Algorithm; http://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf

Topic C

 

Alves, V. & Roque, L. (2011) Guidelines for Sound Design in Computer Game, In: Mark Grimshaw (ed.), Game Sound Technology and Player Interaction: Concepts and Developments (Hershey, PA), p. 362-379. http://www.igi-global.com.proxy.library.uu.nl/gateway/chapter/full-text-pdf/46800

Assayag. G. & Dubnow, S. (2004). Using Factor Oracles for Machine Improvisation. In Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol 8, No. 9, 604-610. http://musicweb.ucsd.edu/~sdubnov/CATbox/Reader/SC.pdf

Chuan, C. H. & Chew, E. (2011), Generating and Evaluating Musical Accompaniments that Emulate Style, Computer Music Journal, volume 35, issue 4, 64-82. http://muse.jhu.edu.proxy.library.uu.nl/journals/computer_music_journal/v035/35.4.chuan.html

M. Farbood (2001). Hyperscore: A New Approach to Interactive Computer-Generated Music. M.S. Thesis. MIT Media Laboratory, 2001.

Pachet, F. (2009), Description-based design of melodies. Computer Music Journal, Vol 33 (4), 65-68. http://www.csl.sony.fr/downloads/papers/2009/pachet-08f.pdf

Roig, C., Tardón, L.J., Barbancho, I. and, Barbancho, A.M. (2014), Automatic melody composition based on a probabilistic model of music style and harmonic rules , Knowledge-Based Systems, Volume 71, November 2014, Pages 419–434.