Biblio

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Lagrange, M., & Serrà J. (2010).  Unsupervised accuracy improvement for cover song detection using spectral connectivity network. International Society for Music Information Retrieval Conference (ISMIR) . 595-600. Abstract
application/pdf iconismir2010-102.pdf
Laurier, C., Lartillot O., Eerola T., & Toiviainen P. (2009).  Exploring Relationships between Audio Features and Emotion in Music. ESCOM, Conference of European Society for the Cognitive Sciences of Music. Abstract
Laurier, C., & Herrera P. (2007).  A computational approach to classify music by emotion. European Computing Conference. Abstract
Laurier, C. (2011).  Automatic Classification of Musical Mood by Content-Based Analysis. Abstract
Laurier, C. (2004).  Attributs multiples dans un improvisateur automatique. Abstract
Laurier, C., Grivolla J., & Herrera P. (2008).  Multimodal Music Mood Classification using Audio and Lyrics. International Conference on Machine Learning and Applications. Abstract
Laurier, C., Sordo M., Serrà J., & Herrera P. (2009).  Music Mood Representations from Social Tags. International Society for Music Information Retrieval (ISMIR) Conference. 381-386. Abstract
Laurier, C., Meyers O., Serrà J., Blech M., & Herrera P. (2009).  Music Mood Annotator Design and Integration. 7th International Workshop on Content-Based Multimedia Indexing. Abstract
Laurier, C., & Herrera P. (2008).  Mood Cloud : A Real-Time Music Mood Visualization Tool. CMMR, Computer Music Modeling and Retrieval. Abstract
Laurier, C., Sordo M., Bozzon A., Brambilla M., & Fraternali P. (2009).  Pharos: An Audiovisual Search Platform using Music Information Retrieval Techniques. Conference of the International Society for Music Information Research (ISMIR), Demo session. Abstract
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
Laurier, C. (2009).  Estimating Tonal Tension from Audio Content. Workshop on Music, Emotions, and Brain plasticity. Abstract
Laurier, C., & Herrera P. (2007).  Audio music mood classification using support vector machine. International Society for Music Information Research Conference (ISMIR). Abstract
Laurier, C., Sordo M., & Herrera P. (2009).  Mood Cloud 2.0: Music Mood Browsing based on Social Networks. International Society for Music Information Research Conference (ISMIR). Abstract
application/pdf iconLaurier-ISMIR-LBD-2009.pdf
Laurier, C., Meyers O., Serrà J., Blech M., Herrera P., & Serra X. (2010).  Indexing Music by Mood: Design and Integration of an Automatic Content-based Annotator. Multimedia Tools and Applications. 48(1), 161-184. Abstract
Le Groux, S. (2006).  From Sense to Sound Mapping High-Level Sonic Percepts to Sound Generation. Abstract
Liem, C., Gómez E., & Tzanetakis G. (2017).  Multimedia Technologies for Enriched Music Performance, Production and Consumption. IEEE Mutlimedia Magazine . 24(01), 20-23. Abstract
Lizarraga, X. (2015).  Sound Source Localization for Enhancement of Orchestral Music for Multi-Sensor Recordings. Abstract
application/pdf iconXavier-Lizarraga-Master-thesis-2015.pdf
Lizarraga Seijas, X. (2013).  Evaluación y mejora de la invarianza al timbre de descriptores tonales para el uso efectivo en aplicaciones musicales.
application/pdf iconMaster thesis document
Lladó, P. (2018).  A machine learning approach to violin timbre quality classification. Abstract
Lluís, F. (2018).  A Wavenet for Music Source Separation. Abstract
Loáiciga Espeleta, F. (2017).  High Resolution Audio Analysis From A Music Information Retrieval Perspective. Abstract
López, J. (2013).  Informed Source Separation for Multiple Instruments of Similar Timbre. Abstract
application/pdf iconJakue-Lopez-Master-Thesis-2013.pdf
López-Gómez, C. (2013).  Criterios para la transcripción manual de la colección de tonás.
application/pdf iconCriteriosTranscripcionTONAS.pdf
Loscos, A., & Bonada J. (2006).  Esophageal Voice Enhancement by Modeling Radiated Pulses in Frequency Domain. Abstract
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