| DC Field | Value | Language |
|---|
| dc.contributor.author | Gladkykh, Tetiana | |
| dc.contributor.author | Hnot, Taras | |
| dc.contributor.author | Grubnyk, Roman | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:04:43Z | - |
| dc.date.available | 2020-06-19T12:04:43Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | Gladkykh T. Music Content Selection Automation / Tetiana Gladkykh, Taras Hnot, Roman Grubnyk // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 599–604. — (Machine Vision and Pattern Recognition). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52455 | - |
| dc.description.abstract | We are proposing the solution for musical content
recommendation, which is based on assessment of tracks
similarity with taking into account tree factors - genre
description, sound and rhythm patterns and user preferences.
We have introduced the music compositions distance measure
based on their representation as mel-spectrograms, and deeplearning approach to high-level (tags) music description, based
on the extracted acoustic and rhythmic patterns from their spectra. | |
| dc.format.extent | 599-604 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.relation.uri | https://noisey.vice.com/en_us/article/a37x9g/lastfm-was-the-onlymusic-social-network-that-made-sense | |
| dc.relation.uri | http://blog.stevekrause.org/2006/01/pandora-and-lastfm-nature-vsnurture-in.html | |
| dc.relation.uri | http://www.theserverside.com/feature/How-Pandorabuilt-a-better-recommendation-engine | |
| dc.relation.uri | https://yandex.com/company/technologies/disco/ | |
| dc.subject | music recommender | |
| dc.subject | tracks similarity | |
| dc.subject | melspectrogram | |
| dc.subject | deep-learning | |
| dc.subject | tags recognition | |
| dc.title | Music Content Selection Automation | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | Data Science Group, SoftServe | |
| dc.format.pages | 6 | |
| dc.identifier.citationen | Gladkykh T. Music Content Selection Automation / Tetiana Gladkykh, Taras Hnot, Roman Grubnyk // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 599–604. — (Machine Vision and Pattern Recognition). | |
| dc.relation.references | [1] "Shazam Launches Resonate TV Sales Platform," Billboard. 5 August 2014. Retrieved 15 June 2015. | |
| dc.relation.references | [2] Bryan Jacobs, "How Shazam Works To Identify (Nearly) Every Song You Throw at It". Gizmodo. Retrieved 13 June 2017. | |
| dc.relation.references | [3] Elia Alovisi, Last.fm: Was the Only Music Social Network That Made Sense, December, 2017, [https://noisey.vice.com/en_us/article/a37x9g/lastfm-was-the-onlymusic-social-network-that-made-sense] | |
| dc.relation.references | [4] “Pandora and Last.fm: Nature vs. Nurture in Music Recommenders,” Words & Numbers, A blog by Steve Krause, January, 2006 [http://blog.stevekrause.org/2006/01/pandora-and-lastfm-nature-vsnurture-in.html] | |
| dc.relation.references | [5] George Lawton, “How Pandora built a better recommendation engine,” August 2017, [http://www.theserverside.com/feature/How-Pandorabuilt-a-better-recommendation-engine] | |
| dc.relation.references | [6] Recommendation Technology ‘Disco’, [https://yandex.com/company/technologies/disco/] | |
| dc.relation.references | [7] Florian Eyben, Real-time Speech and Music Classification by Large Audio Feature Space Extraction. Springer, 2016. | |
| dc.relation.references | [8] Justin Salamon, “Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming,” International Journal of Multimedia Information Retrieval, vol. 2, iss. 1, pp 45–58, March 2013. | |
| dc.relation.references | [9] J.,Salamon, and E. Gómez, “Melody Extraction from Polyphonic Music Signals using Pitch Contour Characteristics,” IEEE Transactions on Audio, Speech and Language Processing, vol. 20, iss. 6, pp 1759-1770, 2012. | |
| dc.relation.references | [10] E. Allamanche and B. Froba, “Content-based identification of audio material using mpeg-7 low level description,” In in Proc. of the Int. Symp. of Music Information Retrieval, pp 197–204, 2001. | |
| dc.relation.references | [11] J. Wood and J. Dykes, “Spatially ordered treemaps,” IEEE Transactions on Visualization and Computer Graphics, vol. 14(6), pp. 1348–1355, 2008. | |
| dc.relation.references | [12] J.-J. Aucouturier and F. Pachet, “Music similarity measures: What’s the use?,’ In Proc. Int. Conf. Music Information Retrieval (ISMIR), Paris, pp. 157-163, 2002 | |
| dc.relation.references | [13] B. Logan and A. Salomon,” A music similarity function based on signal analysis,” In Multimedia and Expo,2001. ICME 2001. IEEE International Conference on, pp. 745–748, 2001. | |
| dc.relation.references | [14] Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval. Cambridge University Press. 2008. | |
| dc.relation.references | [15] Anssi Klapuri, "Introduction to Music Transcription," in Signal Processing Methods for Music Transcription, edited by Anssi Klapuri and Manuel Davy, New York: Springer, 2006, pp. 1–20. ISBN 978-0-387-30667-4. | |
| dc.relation.references | [16] Stanley Smith Stevens, John Volkman and Edwin Newman, "A scale for the measurement of the psychological magnitude pitch". Journal of the Acoustical Society of America, vol. 8 (3), pp 185–190,1937. | |
| dc.relation.references | [17] Douglas O'Shaughnessy, Speech communication: human and machine. Addison-Wesley,1987. ISBN 978-0-201-16520-3. | |
| dc.relation.references | [18] W. Dixon Ward, "Musical Perception," In Jerry V. Tobias. Foundations of Modern Auditory Theory. 1. Academic Press. 1970, pp. 405-447. | |
| dc.relation.referencesen | [1] "Shazam Launches Resonate TV Sales Platform," Billboard. 5 August 2014. Retrieved 15 June 2015. | |
| dc.relation.referencesen | [2] Bryan Jacobs, "How Shazam Works To Identify (Nearly) Every Song You Throw at It". Gizmodo. Retrieved 13 June 2017. | |
| dc.relation.referencesen | [3] Elia Alovisi, Last.fm: Was the Only Music Social Network That Made Sense, December, 2017, [https://noisey.vice.com/en_us/article/a37x9g/lastfm-was-the-onlymusic-social-network-that-made-sense] | |
| dc.relation.referencesen | [4] "Pandora and Last.fm: Nature vs. Nurture in Music Recommenders," Words & Numbers, A blog by Steve Krause, January, 2006 [http://blog.stevekrause.org/2006/01/pandora-and-lastfm-nature-vsnurture-in.html] | |
| dc.relation.referencesen | [5] George Lawton, "How Pandora built a better recommendation engine," August 2017, [http://www.theserverside.com/feature/How-Pandorabuilt-a-better-recommendation-engine] | |
| dc.relation.referencesen | [6] Recommendation Technology ‘Disco’, [https://yandex.com/company/technologies/disco/] | |
| dc.relation.referencesen | [7] Florian Eyben, Real-time Speech and Music Classification by Large Audio Feature Space Extraction. Springer, 2016. | |
| dc.relation.referencesen | [8] Justin Salamon, "Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming," International Journal of Multimedia Information Retrieval, vol. 2, iss. 1, pp 45–58, March 2013. | |
| dc.relation.referencesen | [9] J.,Salamon, and E. Gómez, "Melody Extraction from Polyphonic Music Signals using Pitch Contour Characteristics," IEEE Transactions on Audio, Speech and Language Processing, vol. 20, iss. 6, pp 1759-1770, 2012. | |
| dc.relation.referencesen | [10] E. Allamanche and B. Froba, "Content-based identification of audio material using mpeg-7 low level description," In in Proc. of the Int. Symp. of Music Information Retrieval, pp 197–204, 2001. | |
| dc.relation.referencesen | [11] J. Wood and J. Dykes, "Spatially ordered treemaps," IEEE Transactions on Visualization and Computer Graphics, vol. 14(6), pp. 1348–1355, 2008. | |
| dc.relation.referencesen | [12] J.-J. Aucouturier and F. Pachet, "Music similarity measures: What’s the use?,’ In Proc. Int. Conf. Music Information Retrieval (ISMIR), Paris, pp. 157-163, 2002 | |
| dc.relation.referencesen | [13] B. Logan and A. Salomon," A music similarity function based on signal analysis," In Multimedia and Expo,2001. ICME 2001. IEEE International Conference on, pp. 745–748, 2001. | |
| dc.relation.referencesen | [14] Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval. Cambridge University Press. 2008. | |
| dc.relation.referencesen | [15] Anssi Klapuri, "Introduction to Music Transcription," in Signal Processing Methods for Music Transcription, edited by Anssi Klapuri and Manuel Davy, New York: Springer, 2006, pp. 1–20. ISBN 978-0-387-30667-4. | |
| dc.relation.referencesen | [16] Stanley Smith Stevens, John Volkman and Edwin Newman, "A scale for the measurement of the psychological magnitude pitch". Journal of the Acoustical Society of America, vol. 8 (3), pp 185–190,1937. | |
| dc.relation.referencesen | [17] Douglas O'Shaughnessy, Speech communication: human and machine. Addison-Wesley,1987. ISBN 978-0-201-16520-3. | |
| dc.relation.referencesen | [18] W. Dixon Ward, "Musical Perception," In Jerry V. Tobias. Foundations of Modern Auditory Theory. 1. Academic Press. 1970, pp. 405-447. | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 599 | |
| dc.citation.epage | 604 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
