Biblio

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Z
Zinemanas, P., Arias P., Haro G. G., & Gómez E. (2017).  Visual music transcription of clarinet video recordings trained with audio-based labelled data. ICCV 2017 Workshop on Computer Vision for Audio-Visual Media (CVAVM). Abstract
Zapata, J. R., Davies M. E. P., & Gómez E. (2014).  Multi-feature beat tracking. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22(4), 816 - 825 . Abstract
Zapata, J. R., & Gómez E. (2013).  Using Voice Suppression Algorithms to improve Beat Tracking in the Presence Of Highly Predominant Volcals. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). Abstract
application/pdf iconZapata_Beat_tracking_Voice_Supression_ICASSP2013.pdf
Zapata, J. R., & Gómez E. (2011).  Combination of Audio Tempo Estimation Approaches (MIREX 2011 Submission). 6th Music Information Retrieval Evaluation eXchange (MIREX). Abstract
application/pdf iconZG1_CombinationTempo_MIREX2011.pdf
application/pdf iconMIREX11 Justin Salamon Jose Zapata RESULTS.pdf
Zapata, J. R., Davies M. E. P., & Gómez E. (2012).  MIREX 2012: MULTI FEATURE BEAT TRACKER (ZDG1 AND ZDG2). 7th Music Information Retrieval Evaluation eXchange (MIREX). Abstract
application/pdf iconMultiFT_BT_Mirex_2012.pdf
application/pdf iconPoster_BT_MIREX2012.pdf
Zapata, J. R., & Gómez E. (2012).  Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study. The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) . 583-590.
application/pdf iconBeatracking_with_source_separation_Jose_Zapata.pdf
Y
Yesiler, F., Tralie C., Correya A., Silva D. F., Tovstogan P., Gómez E., et al. (2019).  Da-TACOS: A dataset for cover song identification and understanding. International Society for Music Information Retrieval (ISMIR). Abstract
W
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconWLB1.pdf
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Valero-Mas, J. J., Salamon J., & Gómez E. (2015).  Analyzing the influence of pitch quantization and note segmentation on singing voice alignment in the context of audio-based Query-by-Humming. Sound and Music Computing Conference.
application/pdf iconValero-Salamon-Gomez-SMC2015.pdf
U
Urbano, J., Bogdanov D., Herrera P., Gómez E., & Serra X. (2014).  What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features?. 15th International Society for Music Information Retrieval Conference. 573-578. Abstract
application/pdf icon025-what-effect-audio-quality-robustness-mfcc-chroma-features.pdf
T
Trent, E. S., & Gómez E. (2015).  Correlations Between Musical Descriptors and Emotions Recognized in Beethoven’s Eroica. Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM). Abstract
application/pdf icon0168TrentGomez-ESCOM2015.pdf
application/pdf icon0168TrentGomezPoster.pdf
S
Stanyek, J., Benadon F., Browner T., Chordia P., Danielsen A., Gómez E., et al. (2014).  Forum on transcription. Twentieth-Century Music. 11(1), 101-161.
Slizovskaia, O., Gómez E., & Haro G. G. (2017).  Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture. ACM International Conference on Multimedia Retrieval. Abstract
application/pdf iconpostprint
Slizovskaia, O., Gómez E., & Haro G. G. (2017).  Correspondence between audio and visual deep models for musical instrument detection in video recordings. 18th International Society for Music Information Retrieval Conference (ISMIR2017, LBD). Abstract
Slizovskaia, O., Kim L., Haro G., & Gómez E. (2019).  End-to-End Sound Source Separation Conditioned On Instrument Labels. 2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
Slizovskaia, O., Gómez E., & Haro G. G. (2016).  Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies. 13th Sound and Music Computing Conference (SMC 2016). Abstract
application/pdf iconpostprint version
Serra, X., Magas M., Benetos E., Chudy M., Dixon S., Flexer A., et al. (2013).  Roadmap for Music Information ReSearch. Abstract
application/pdf iconMIRES-Roadmap.pdf
Serrà, J., Gómez E., Herrera P., & Serra X. (2008).  Statistical analysis of chroma features in western music predicts human judgments of tonality. Journal of New Music Research. 37(4), 299-309. Abstract
Serrà, J., Gómez E., & Herrera P. (2008).  Improving binary similarity and local alignment for cover song detection. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Serrà, J., Gómez E., & Herrera P. (2008).  Transposing Chroma Representations to a Common Key. IEEE CS Conference on The Use of Symbols to Represent Music and Multimedia Objects. 45-48. Abstract
Serrà, J., & Gómez E. (2008).  Audio cover song identification based on tonal sequence alignment . IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP). 61-64. Abstract
Serrà, J., & Gómez E. (2007).  A cover song identification system based on sequences of tonal descriptors. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Serrà, J., Gómez E., Herrera P., & Serra X. (2008).  Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification. IEEE Transactions on Audio, Speech and Language Processing. 16(6), 1138-1151. Abstract
Serrà, J., Gómez E., & Herrera P. (2010).  Audio cover song identification and similarity: background, approaches, evaluation, and beyond. (Ras, Z., A. A. Wieczorkowska, Ed.).Advances in Music Information Retrieval. 274, 307-332. Abstract
application/pdf iconjserra10coveridreview.pdf
Schedl, M., Gómez E., & Urbano J. (2014).  Music Information Retrieval: Recent Developments and Applications. Foundations and Trends in Information Retrieval. 8(2-3), 127-261. Abstract
application/pdf icon059-music-information-retrieval-recent-developments-applications.pdf
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