Biblio

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Janer, J., & Maestre E. (2007).  Phonetic-based mappings in voice-driven sound synthesis. International Conference on Signal Processing and Multimedia Applications. 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
application/pdf iconPresentation slides
Ortega, F. J. M., Giraldo S. I., & Ramirez R. (2017).  Phrase-Level Modeling of Expression in Violin Performances. Proceedings of the 10th International Workshop on Machine Learning and Music. 49–54. Abstract
Ortega, F. J. M., Giraldo S. I., Perez A., & Ramírez R. (2019).  Phrase-Level Modeling of Expression in Violin Performances. Frontiers in Psychology. 10, 776. Abstract
Sparato, D. M. M. (2012).  A Physiological Approach for User Experience Evaluation. Case Study: Interaction with Tabletop Systems for Music Creation. Abstract
application/pdf iconMundo-Diana-MasterThesis-2012.pdf
Mealla, S., Jordà S., & Väljamäe A. (2016).  Physiopucks: Increasing User Motivation by Combining Tangible and Implicit Physiological interaction. Transactions on Computer-Human Interaction (TOCHI). 23(1),  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
Bittner, R. M., Salamon J., Bosch J., & Bello J. P. (2017).  Pitch Contours as a Mid-Level Representation for Music Informatics. AES International Conference on Semantic Audio.
application/pdf iconSemantic_Audio_2017_pitch_contours.pdf
Cuesta, H. (2017).  Pitch Estimation of Choir Music using Deep Learning Strategies: from Solo to Unison Recordings. Abstract
Ishwar, V. (2014).  Pitch Estimation of the Predominant Vocal Melody from Heterophonic Music Audio Recordings. Abstract
application/pdf iconVignesh-Ishwar-Master-Thesis-2014.pdf
Bozkurt, B. (2014).  Pitch Histogram based analysis of Makam Music in Turkey. (Ayari, Mondher, Lai, Antonio, Ed.).LES CORPUS DE L'ORALITÉ. Abstract
Panteli, M. (2011).  Pitch Patterns of Cypriot Folk Music between Byzantine and Ottoman Influence. Abstract
Peterschmitt, G., Gómez E., & Herrera P. (2001).  Pitch-based Solo Location. Abstract
Alonso, C. (2007).  Pitch-Synchronous Multiresolution Analysis of Music Signals. Abstract
McFee, B., Humphrey E. J., & Urbano J. (2016).  A Plan for Sustainable MIR Evaluation. International Society for Music Information Retrieval Conference. 285-291. Abstract
application/pdf icon070-plan-sustainable-mir-evaluation.pdf
Anniés, R., Adiloglu K., & Purwins H. (2009).  Playing with {SID}. Sound and Music Computing Conference, Inspirational Session "Sonic Interaction Design: interactive sound and everyday life" . Abstract
application/pdf iconAnniesAdilogluPurwins_SID_SoundPlay.pdf
Purwins, H., Holonowicz P., & Herrera P. (2009).  Polynomial Extrapolation for Prediction of Surprise Based on Loudness - A Preliminary Study . Sound and Music Computing Conference. Abstract
Fuhrmann, F., & Herrera P. (2010).  Polyphonic Instrument Recognition for exploring semantic Similarities in Music. International Conference on Digital Audio Effects (DAFx). Abstract
application/pdf iconffuhrmann_dafx10_final.pdf
Hazan, A., Holonowicz P., Salselas I., Herrera P., Purwins H., Knast A., et al. (2008).  Poster - Modeling the Acquisition of Statistical Regularities in Tone Sequences. CogSci 2008.
Haro, G. G., Serrà J., Corral A., & Herrera P. (2012).  Power-Law Distribution in Encoded MFCC Frames of Speech, Music, and Environmental Sound Signals. 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). 895-902.
application/pdf iconharo_etal_p895.pdf
Serrà, J., Kantz H., Serra X., & Andrzejak R. G. (2011).  Predictability of music descriptor time series and its application to cover song detection. IEEE Transactions on Audio, Speech, and Language Processing. 20(2), 514-525. Abstract
application/pdf iconIEEEPredictabilitySupplementary.pdf
Zhang, S., Caro Repetto R., & Serra X. (2015).  Predicting Pairwise Pitch Contour Relations Based on Linguistic Tone Information in Beijing Opera Singing. 16th International Society for Music Information Retrieval (ISMIR) Conference. 107-113. Abstract
application/pdf iconpostprint version
Coleman, G., & Villavicencio F. (2010).  Predicting Transformed Audio Descriptors: A System Design and Evaluation. Workshop on Machine Learning and Music (ACM Multimedia 2010). Abstract
application/pdf iconmml10.pdf
Gómez, E., Cañadas F., Salamon J., Bonada J., Vera P., & Cabañas P. (2012).  Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
application/pdf iconMTGUJA-ISMIR2012-FINAL.pdf
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