Biblio

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Luque, S. R. (2019).  Automatic Detection of Flamenco Singing Vocal Resources. Abstract
Loureiro, R., & Serra X. (1997).  A Web Interface for a Sound Database and Processing System. International Computer Music Conference. Abstract
Loscos, A., & Bonada J. (2006).  Esophageal Voice Enhancement by Modeling Radiated Pulses in Frequency Domain. Abstract
Loscos, A., & Aussenac T. (2005).  The Wahwactor a voice controlled wah-wah pedal. Abstract
Loscos, A., Cano P., & Bonada J. (1999).  Low-Delay Singing Voice Alignment to Text. International Computer Music Conference. Abstract
Loscos, A. (2007).  Spectral Processing Of The Singing Voice. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Loscos, A., & Celma Ò. (2005).  Larynxophone Using Voice As A Wind Controller. Abstract
Loscos, A. (2003).  Issues on Modeling the Singing Voice. Abstract
Loscos, A., & Resina E. (1998).  SMSPerformer A real-time synthesis interface for SMS. International Conference on Digital Audio Effects (DAFX). Abstract
Loscos, A., Wang Y., & Boo J. (2006).  Low Level Descriptors for Automatic Violin Transcription. Abstract
Loscos, A., & Bonada J. (2004).  Emulating Rough And Growl Voice In Spectral Domain. Abstract
López-Gómez, C. (2013).  Criterios para la transcripción manual de la colección de tonás.
application/pdf iconCriteriosTranscripcionTONAS.pdf
López, J. (2013).  Informed Source Separation for Multiple Instruments of Similar Timbre. Abstract
application/pdf iconJakue-Lopez-Master-Thesis-2013.pdf
Loáiciga Espeleta, F. (2017).  High Resolution Audio Analysis From A Music Information Retrieval Perspective. Abstract
Lluís, F. (2018).  A Wavenet for Music Source Separation. Abstract
Lladó, P. (2018).  A machine learning approach to violin timbre quality classification. Abstract
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
Lizarraga, X. (2015).  Sound Source Localization for Enhancement of Orchestral Music for Multi-Sensor Recordings. Abstract
application/pdf iconXavier-Lizarraga-Master-thesis-2015.pdf
Liem, C., Gómez E., & Tzanetakis G. (2017).  Multimedia Technologies for Enriched Music Performance, Production and Consumption. IEEE Mutlimedia Magazine . 24(01), 20-23. Abstract
Le Groux, S. (2006).  From Sense to Sound Mapping High-Level Sonic Percepts to Sound Generation. Abstract
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
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
application/pdf iconThesis document
Laurier, C. (2004).  Attributs multiples dans un improvisateur automatique. Abstract
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