Biblio

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Marxer, R. (2013).  Audio Source Separation for Music in Low-latency and High-latency Scenarios. Department of Information and Communication Technologies. Abstract
application/pdf iconthesis_revised.pdf
Chandna, P. (2016).  Audio Source Separation Using Deep Neural Networks. Abstract
application/pdf iconPritish-Chandna-Master-thesis-2016.pdf
Sordo, M., Celma Ò., & Bogdanov D. (2011).  Audio Tag Classification using Weighted-Vote Nearest Neighbor Classification. Abstract
application/pdf iconmirex2011_abstract.pdf
application/pdf iconmirex2011_audio_tag_poster.pdf
Bonada, J. (2002).  Audio Time-Scale Modification in the Context of Professional Post-Production. Abstract
Carabias-Orti, J. J., Rodriguez-Serrano F. J., Vera-Candeas P., Ruiz-Reyes N., & Canadas-Quesada F. J. (2015).  An Audio to Score Alignment Framework using Spectral Factorization and Dynamic Time Warping. 16th International Society for Music Information Retrieval (ISMIR) Conference, 2015..
Gong, R., Pons J., & Serra X. (2017).  Audio to Score Matching by Combining Phonetic and Duration Information. The 18th International Society for Music Information Retrieval Conference. Abstract
Mayor, O., Bonada J., & Janer J. (2011).  Audio Transformation Technologies Applied to Video Games. 41st AES Conference: Audio for Games. Abstract
application/pdf iconaes41_AudioTransformationInVideoGames.pdf
Gomes, L., Cano P., Gómez E., Bonnet M., & Batlle E. (2003).  Audio Watermarking and Fingerprinting For Which Applications?. Journal of New Music Research. 32, Abstract
Eremenko, V., Demirel E., Bozkurt B., & Serra X. (2018).  Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research. International Society for Music Information Retrieval Conference. Abstract
Rodríguez-Algarra, F. (2014).  Audio-based computational stylometry for electronic music. Abstract
application/pdf iconFrancisco-Rodriguez-Algarra-Master-Thesis-2014.pdf
Miron, M., Carabias-Orti J. J., & Janer J. (2014).  Audio-to-score alignment at the note level for orchestral recordings. 15th International Society for Music Information Retrieval Conference.
application/pdf iconMironCarabiasJaner2014.pdf
Stella, A. (2012).  Auditory Display of Brain Oscillatory Activity with Electroencephalography. Abstract
application/pdf iconAndrew-Stella-SMC-Master-Thesis.pdf
Vinyes, M. (2005).  Auditory stream separation in commercial music productions implementation of a real-time method based on pan location. Abstract
Coleman, G., Maestre E., & Bonada J. (2010).  Augmenting Sound Mosaicing with Descriptor-driven Transformation. Digital Audio Effects. Abstract
application/pdf icondafx10_augmos.pdf
Papiotis, P., Herrera P., Marchini M., & Maestre E. (2013).  Aural-based detection and assessment of real versus artificially synchronized string quartet performance. 3rd International Conference on Music & Emotion. Abstract
application/pdf iconICME3_PapiotisEtAl.pdf
Janer, J., Roma G., & Kersten S. (2011).  Authoring augmented soundscapes with user-contributed content. ISMAR Workshop on Authoring Solutions for Augmented Reality.
application/pdf iconISMAR_auth_mtg.pdf
Martín, D. (2009).  Automatic accompaniment for improvised music. Abstract
Dzhambazov, G., Yang Y., Caro Repetto R., & Serra X. (2016).  Automatic Alignment of Long Syllables In A cappella Beijing Opera. 6th International Workshop on Folk Music Analysis (FMA 2016). 88-91. Abstract
application/pdf iconpostprint version
application/pdf iconpresentation slides
Sharma, K. (2017).  Automatic analysis of time varying metrical structures in music. Abstract
Puranik, N. V. (2019).  Automatic Assessment of Singing. Abstract
Gong, R. (2018).  Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music. Department of Information and Communications Technologies. xxxii + 235. Abstract
Puiggròs, M. (2005).  Automatic characterization and generation of expressive ornaments from bassoon audio recordings. Abstract
Maestre, E., & Gómez E. (2005).  Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention. Abstract
Kroher, N. (2013).  Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings. Abstract
application/pdf iconNadine-Kroher-Master-Thesis-2013.pdf
Streich, S. (2005).  Automatic Characterization of Music Complexity a multi-faceted approach. Abstract
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