Biblio

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Conference Paper
Srinivasamurthy, A., Holzapfel A., Cemgil A. T., & Serra X. (2015).  Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks. 16th International Society for Music Information Retrieval (ISMIR) Conference. 197-203. Abstract
Serra, X., & Brncic G. (1994).  Phonos: Studio Report. International Computer Music Conference. 488-489. Abstract
Gulati, S., Serrà J., Ishwar V., Şentürk S., & Serra X. (2016).  Phrase-based Rāga Recognition Using Vector Space Modeling. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 66-70. Abstract
Gong, R., Yang Y., & Serra X. (2016).  Pitch Contour Segmentation for Computer-aided Jingju Singing Training. 13th Sound and Music Computing Conference (SMC 2016). 172-178. Abstract
Bogdanov, D., & Serra X. (2017).  Quantifying music trends and facts using editorial metadata from the Discogs database. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). 89-95. Abstract
Pons, J., & Serra X. (2019).  Randomly weighted CNNs for (music) audio classification. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
Şentürk, S., Gulati S., & Serra X. (2013).  Score Informed Tonic Identification for Makam Music of Turkey. Proceedings of 14th International Society for Music Information Retrieval Conference (ISMIR). 175-180. Abstract
Dzhambazov, G., Şentürk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference. 687-693. Abstract
Oramas, S., Sordo M., Espinosa-Anke L., & Serra X. (2015).  A Semantic-based Approach for Artist Similarity. 16th International Society for Music Information Retrieval Conference. 100-106. Abstract
Herrera, P., Bello J. P., Widmer G., Sandler M., Celma Ò., Vignoli F., et al. (2005).  SIMAC Semantic interaction with music audio contents. 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies. Abstract
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