Biblio

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Puiggròs, M., Gómez E., Ramirez R., Serra X., & Bresin R. (2006).  Automatic characterization of ornamentation from bassoon recordings for expressive synthesis. 9th International Conference on Music Perception and Cognition. Abstract
Demirel, E., Bozkurt B., & Serra X. (2019).  Automatic Chord-Scale Recognition Using Harmonic Pitch Class Profiles. Sound and Music Computing Conference. 72-79. Abstract
Demirel, E. (2018).  Automatic Chord-Scale Type Detection Using Chroma Features. Abstract
Hespanhol, N. (2014).  Automatic Classi cation of Musical Sounds in the context of Freesound. Abstract
application/pdf iconNuno-Hespanhol-Master-Thesis-2014.pdf
Herrera, P., Yeterian A., & Gouyon F. (2002).  Automatic classification of drum sounds a comparison of feature selection methods and classification techniques. International Conference on Music and Artificial Intelligence (ICMAI). Abstract
Scarano, D. (2016).  Automatic Classification of Musical Instrument Samples. Abstract
application/pdf iconDaniele-Scarano-Master-thesis-2016.pdf
Herrera, P., Peeters G., & Dubnov S. (2003).  Automatic Classification of Musical Instrument Sounds. Journal of New Music Research. 32, Abstract
Laurier, C. (2011).  Automatic Classification of Musical Mood by Content-Based Analysis. Abstract
Herrera, P., Klapuri A., & Davy M. (2006).  Automatic Classification of Pitched Musical Instrument Sounds. (Anssi Klapuri, Davy, M., Ed.).Signal Processing Methods for Music Transcription. Abstract
Meseguer, G. (2013).  Automatic content-based detection of influences in the history of Progressive Rock Music. Abstract
application/pdf iconGabriel-Meseguer-Master-Thesis-2013.pdf
Oramas, S., Sordo M., & Serra X. (2014).  Automatic Creation of Knowledge Graphs from Digital Musical Document Libraries. Conference in Interdisciplinary Musicology. Abstract
application/pdf iconCIM14_MAIN.pdf
Cimarone, L., Bozkurt B., & Serra X. (2019).  Automatic Dastgah Recognition Using Markov Models. 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). 51-58. Abstract
Román Echeverri, C. G., & Herrera P. (2013).  Automatic Description Of Music For Analyzing Music Productions: A Case Study In Detecting Mellotron Sounds In Recordings. Journal on the Art of Record Production.
Román Echeverri, C. G., & Herrera P. (2013).  Automatic Description of Music for Analyzing Music Productions: A Study Case in Detecting Mellotron Sounds in Recordings. Art of Record Production Conference. Abstract
Adell, I. (2016).  Automatic Detection of Audio Defects in Personal Music Collections. Abstract
Alonso-Jiménez, P., Joglar-Ongay L., Serra X., & Bogdanov D. (2019).  Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution. AES 146th Convention. Abstract
application/pdf iconPoster_Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution.pdf
Laurier, C., & Herrera P. (2009).  Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines. (Vallverdu, J., Casacuberta, D., Ed.).Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. 9-32.
application/pdf iconPre-print version
Luque, S. R. (2019).  Automatic Detection of Flamenco Singing Vocal Resources. Abstract
Miron, M. (2011).  Automatic Detection of Hindustani Talas. Abstract
Gómez, P., Pikrakis A., Mora J., Díaz-Báñez J. M., Gómez E., Escobar Borrego F., et al. (2012).  Automatic Detection of Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings. III Interdisciplinary Conference on Flamenco Research (INFLA) and II International Workshop of Folk Music Analysis (FMA). Abstract
Gómez, F., Pikrakis A., Mora J., Díaz-Báñez J. M., & Gómez E. (2011).  Automatic Detection of Ornamentation in Flamenco Music. 4th International Workshop on Machine Learning and Music, Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011).
application/pdf iconMML-paper-2011.pdf
Can, C. (2019).  Automatic Discrimination of Domestic Cat Sounds and Imitations. Abstract
Zils, A., Pachet F., Delerue O., & Gouyon F. (2002).  Automatic Extraction of Drum Tracks from Polyphonic Music Signals. Abstract
Ong, B., Gómez E., & Streich S. (2006).  Automatic Extraction of Musical Structure Using Pitch Class Distribution Features. Abstract
Gómez, E., & Herrera P. (2004).  Automatic Extraction of Tonal Metadata from Polyphonic Audio Recordings. AES. Abstract
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