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., & 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
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
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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