A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features-Reference-Cited by-同舟云学术

A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features

Published:2021 Issue: Volume: Page:313-326
ISSN:0302-9743
Container-title:Artificial Intelligence in Music, Sound, Art and Design
language:
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Author:

Vatolkin Igor^ORCID,Adrian Benedikt,Kuzmic Jurij

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-72914-1_21

Reference37 articles.

1. Best Service. Ethno World 5 Professional and Voices (2010). https://www.youtube.com/watch?v=-9F3q8kAb00. Accessed 03 Feb 2021

2. Native Instruments. Komplete 11 Ultimate (2016). https://www.youtube.com/watch?v=WEfxP0-YZgQ. Accessed 03 Feb 2021

3. Abeßer, J., Lukashevich, H., Bräuer, P.: Classification of music genres based on repetitive basslines. J. New Music Res. 41(3), 239–257 (2012)

4. Bittner, R.M., Salamon, J., Tierney, M., Mauch, M., Cannam, C., Bello, J.P.: Medleydb: a multitrack dataset for annotation-intensive MIR research. In: Wang, H., Yang, Y., Lee, J.H. (eds.) Proceedings of the 15th International Society for Music Information Retrieval Conference, ISMIR, pp. 155–160 (2014)

5. Bosch, J.J., Janer, J., Fuhrmann, F., Herrera, P.: A comparison of sound segregation techniques for predominant instrument recognition in musical audio signals. In: Gouyon, F., Herrera, P., Martins, L.G., Müller, M. (eds.) Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR, pp. 559–564 (2012)

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