Abstract
In recent years, computer technology and multimedia technology have been developing rapidly; and information technology, the representative, has been widely penetrated into many courses. Thus, for the current status of research and practical music audio processing needs and the particularity of music causes some problems with the application of computing technology in music creation at present, such as some forefront music theories and technology can not be well applied in music practice., this paper argues, the music element analysis technology is the key to this research field, and on this basis, proposes a new framework music processing - Music calculation system, the core objective is to study intelligently and automatically identifies various elements of music information and analyze the information used in constructing the music content, and intelligent retrieval method translated. To achieve the above core research objectives, the paper advocates will be closely integrated music theory and calculation methods, the promotion of integrated use of music theory, cognitive psychology, music, cognitive science, neuroscience, artificial intelligence, signal processing theory to solve the music signal analysis identify the problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Makhoul, J., Kubala, F., Leek, T., et al.: Speech and language technologies for audio indexing and retrieval. Proc. IEEE 8, 1338–1353 (2000)
Casey, M., Veltkamp, R., Goto, M., et al.: Content-based music information retrieval: current directions and future challenges. Proc. IEEE 4, 668–696 (2008)
Singhal, A.: Modern information retrieval: a brief overview. Bull. IEEE Comput. Soc. Tech. Comm. Data Eng. 4, 35–43 (2001)
Goto, M.: An audio-based real-time beat tracking system for music with or without drum-sounds. J. New Music Res. 30(2), 159–171 (2001)
Kashino, K., Murase, H.: A sound source identification system for ensemble music based on template adaptation and music stream extraction. Speech Commun. 27(3), 337–349 (1999)
Kaminskas, M., et al.: Knowledge-based identification of music suited for places of interest. Inf. Technol. Tour. 14(1), 73–95 (2014)
Hetmaniok, E., Słota, D., Zielonka, A.: Experimental verification of selected artificial intelligence algorithms used for solving the inverse Stefan problem. Numer. Heat Transf. Part B Fundam. 4, 343–359 (2014)
Mithen, S., et al.: The Singing Neanderthals: the Origins of Music, Language, Mind and Body. Weidenfeld & Nicholson, London (2005). ISBN: 0-297-64317-7 hardback£ 20 & US $25.2; ix + 374 pp. Cambridge Archaeol. J. 16(1), 97–112 (2006)
Mora-Gutiérrez, R.A., RamÃrez-RodrÃguez, J., Rincón-GarcÃa, E.A.: An optimization algorithm inspired by musical composition. Artif. Intell. Rev. 41(3), 301–315 (2014)
Ponce, H., Ponce, P., Molina, A.: Adaptive noise filtering based on artificial hydrocarbon networks: an application to audio signals. Expert Syst. Appl. 41(14), 6512–6523 (2014)
Fox, R., Crawford, R.: A hybrid approach to automated music composition. In: Artificial Intelligence Perspectives in Intelligent Systems, vol. 4, pp. 213–223. Springer International Publishing, Cham (2016)
Bartsch, M.A., Wakefield, G.H.: Audio thumbnailing of popular music using chroma-based representations. IEEE Trans. Multimedia 7(1), 96–104 (2005)
Palaniappan, R., Mandic, D.P.: Biometrics from brain electrical activity: a machine learning approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 738–742 (2007)
Wiggins, G.A., Miranda, E.: Music representation-between the Musician and the computer. Music education: an artificial intelligence approach. In: Proceedings of a Workshop Held as Part of AI-ED 1993, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, vol. 3, pp. 244–235. Springer Science & Business Media, London (2013)
Smith, M., Smaill, A., Wiggins, G.A. (eds.): Music education: an artificial intelligence approach. Proceedings of a Workshop Held as Part of AI-ED 1993, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, 25 August 1993, vol. 6, pp. 46–67. Springer Science & Business Media, London (2013)
Park, C.H., et al.: Robotic framework for music-based emotional and social engagement with children with Autism. In: Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, vol. 6, pp. 256–258 (2015)
Furmankiewicz, M., So tysik-Piorunkiewicz, A., Ziuziański, P.: Artificial intelligence systems for knowledge management in e-health: the study of intelligent software agents. In: Latest Trends on Systems: The Proceedings of 18th International Conference on Systems, Santorini Island, Greece, vol. 5, pp. 389–422 (2014)
Eigenfeldt, A., Pasquier, P.: Considering vertical and horizontal context in corpus-based generative electronic dance music. In: Proceedings of the Fourth International Conference on Computational Creativity, vol. 1, pp. 54–72 (2013)
Serra, J., Müller, M., Grosche, P.: Unsupervised detection of music boundaries by time series structure features. In: Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, vol. 4, pp. 897–922. AAAI Press (2012)
Park, C.H., et al.: Robotic framework for music-based emotional and social engagement with children with Autism. In: Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, vol. 5, pp. 673–688 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Zhang, B., Lin, J. (2018). Elements of Music Based on Artificial Intelligence. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-60744-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60743-6
Online ISBN: 978-3-319-60744-3
eBook Packages: EngineeringEngineering (R0)