Biblio

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Gupta, S., Srinivasamurthy A., Kumar M., Murthy H., & Serra X. (2015).  Discovery of Syllabic Percussion Patterns in Tabla Solo Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference. 385-391. Abstract
Gupta, R. (2019).  Development of Listenership for Indian Hindustani Music By Using Mimetic Comprehension. Abstract
Gupta, S. (2015).  Discovery of Percussion Patterns from Tabla Solo Recordings. Abstract
application/pdf iconSwapnil-Gupta-Master-thesis-2015.pdf
Gulati, S., Serrà J., & Serra X. (2015).  An evaluation of methodologies for melodic similarity in audio recordings of Indian art music. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP). 678-682. Abstract
application/pdf iconPoster
Gulati, S., Serrà J., Ishwar V., & Serra X. (2014).  Melodic Pattern Extraction in Large Collections of Music Recordings Using Time Series Mining Techniques. International Society for Music Information Retrieval Conference (Late breaking demo). Abstract
application/pdf iconPoster
Gulati, S., Serrà J., Ganguli K. K., Şentürk S., & Serra X. (2016).  Time-Delayed Melody Surfaces for Rāga Recognition. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 751-757. Abstract
application/pdf iconPoster
Gulati, S., Serrà J., Ganguli K. K., & Serra X. (2014).  Landmark Detection in Hindustani Music Melodies. International Computer Music Conference/Sound and Music Computing Conference. 1062-1068. Abstract
application/pdf iconPresentation slides
Gulati, S., Serrà J., Ishwar V., & Serra X. (2016).  Discovering Rāga Motifs by Characterizing Communities in Networks of Melodic Patterns. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016) . 286-290. Abstract
application/pdf iconPoster
Gulati, S. (2012).  A Tonic Identification Approach for Indian Art Music. Abstract
Gulati, S., Serrà J., & Serra X. (2015).  Improving Melodic Similarity in Indian Art Music Using culture-Specific Melodic Characteristics. International Society for Music Information Retrieval Conference. 680-686. Abstract
application/pdf iconPoster
Gulati, S., Serrà J., Ishwar V., & Serra X. (2014).  Mining Melodic Patterns in Large Audio Collections of Indian Art Music. International Conference on Signal Image Technology & Internet Based Systems - Multimedia Information Retrieval and Applications. 264-271. Abstract
application/pdf iconPresentation slides
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
Gulati, S., Salamon J., & Serra X. (2012).  A Two-stage Approach for Tonic Identification in Indian Art Music. 2nd CompMusic Workshop. Abstract
Gulati, S., Bellur A., Salamon J., Ranjani H. G., Ishwar V., Murthy H., et al. (2014).  Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation. Journal of New Music Research. 43(1), 53-71. Abstract
Gulati, S. (2016).  Computational Approaches for Melodic Description in Indian Art Music Corpora. Department of Information and Communication Technologies. 305. Abstract
application/pdf iconPhD defense slides (70 MB)
Guerra, E. (1998).  Disseny i implementació d`un sintetitzador de veu cantada. Abstract
Guerra, E. (1998).  VowSynth A Synthesizer of Vowel Sounds Based on Additive Synthesis. International Conference on Digital Audio Effects (DAFX). Abstract
Guaus, E., Saña O., & Llimona Q. (2013).  Observed Differences in Rhythm between Performances of Classical and Jazz Violin Students. Stockholm Music Acoustics Conference 2013 and Sound and Music Computing Conference 2013. Abstract
application/pdf iconphenicx_guaus_SMAC13.pdf
Guaus, E., & Herrera P. (2005).  The Rhythm Transform: Towards A Generic Rhythm Description. International Computer Music Conference. 1311. Abstract
Guaus, E., & Gómez E. (2005).  Storage and Retrieval of relevant information from music master classes. 36th conference of the International Association of Sound and Audiovisual Archives (IASA). Abstract
Guaus, E., & Batlle E. (2004).  A non-linear rhythm-based style classifcation for Broadcast Speech-Music Discrimination. 116th AES Convention. Abstract
Guaus, E., & Herrera P. (2007).  A basic system for music genre classification. International Conference on Music Information Retrieval. Abstract
Guaus, E. (2004).  New approaches for rhythmic description of audio signals. Abstract
Guaus, E., Bonada J., Maestre E., Pérez A., & Blaauw M. (2009).  Calibration method to measure accurate bow force for real violin performances . (Scavone, G., Ed.).International Computer Music Conference. 251-254. Abstract
Guaus, E., & Herrera P. (2006).  Towards better automatic genre classifiers by means of understanding human decisions on genre discrimination. International Conference on Music Perception and Cognition. 326-327. Abstract
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