Biblio

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Kadandale, V. S. (2018).  Musical Instrument Recognition in Multi-Instrument Audio Contexts. Abstract
Kaltenbrunner, M., Geiger G., & Jordà S. (2004).  Dynamic Patches for Live Musical Performance. Abstract
Kaltenbrunner, M., & Huxor A. (2000).  Multiple Presence through Auditory Bots in Virtual Environments. Abstract
Kaltenbrunner, M., Jordà S., Geiger G., & Alonso M. (2006).  The reacTable* A Collaborative Musical Instrument. Abstract
Kaltenbrunner, M., Bovermann T., Bencina R., & Costanza E. (2005).  TUIO A Protocol for Table-Top Tangible User Interfaces. Abstract
Kaltenbrunner, M., & Huxor A. (2001).  Marvin Supporting Awareness through Audio in Collaborative Virtual Environments. Abstract
Kaltenbrunner, M., & Bencina R. (2007).  reacTIVision A Computer-Vision Framework for Table-Based Tangible Interaction. Abstract
Kaltenbrunner, M. (2005).  Interactive Music for Mobile Digital Music Players. Abstract
Kaltenbrunner, M., O'Modhrain S., & Costanza E. (2004).  Object Design Considerations for Tangible Musical Interfaces. Abstract
Kaltenbrunner, M. (2002).  Y-Windows Proposal for a Standard AUI Environment. Abstract
Kaltenbrunner, M. (2002).  Evaluation of Auditory Interface Metaphors. Abstract
Karakurt, A., Şentürk S., & Serra X. (2016).  MORTY: A Toolbox for Mode Recognition and Tonic Identification. 3rd International Digital Libraries for Musicology Workshop (DLfM 2016). 9-16. Abstract
application/pdf iconpostprint version
Katsaprakakis, A. (2011).  Extending the control of a musical tangible tabletop with mobile phones. Abstract
application/pdf iconKatsaprakakis-Alexandros-Master-thesis-2011.pdf
Kellum, G. (2007).  Violin Driven Synthesis from Spectral Models. Abstract
Kersten, S. (2015).  Statistical modelling and resynthesis of environmental texture sounds. Department of Information and Communication Technologies. 171. Abstract
application/pdf iconStefan-Kersten-Phd-thesis-2016.pdf
Kersten, S., & Purwins H. (2010).  Sound Texture Synthesis with Hidden Markov Tree Models in the Wavelet Domain. Sound and Music Computing Conference. Abstract
application/pdf iconkersten_sound_texture_synthesis_smc2010.pdf
Kersten, S., Maestre E., & Ramirez R. (2008).  Concatenative Synthesis of Expressive Saxophone Performance. Sound and Music Computing Conference. Abstract
Kersten, S., & Purwins P. (2012).  Fire Texture Sound Re-Synthesis Using Sparse Decomposition and Noise Modelling. International Conference on Digital Audio Effects (DAFx12). Abstract
application/pdf iconkersten_purwins_dafx_2012.pdf
Kersten, S., & Purwins H. (2011).  Hybrid sparse models of water stream texture sounds. Audio-graphic Sound Synthesis Workshop at the 14th International Conference on Digital Audio Effects (DAFx).
Kersten, S., Maestre E., & Ramirez R. (2007).  Modeling and Synthesis of Expressive Performance. Digital Music Research Network Workshop. Abstract
Kim, J., Won M., Serra X., & Liem C. C. S. (2018).  Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW ’18 The Web Conference 2018. Abstract
Knees, P., Faraldo Á., Herrera P., Vogl R., Böck S., Hörschläger F., et al. (2015).  Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. 16th International Society for Music Information Retrieval (ISMIR) Conference. 364-370. Abstract
application/pdf icon246_Paper.pdf
Koduri, G. K., Serrà J., & Serra X. (2012).  Characterization of Intonation in Carnatic Music by Parametrizing Pitch Histograms. International Society for Music Information Retrieval Conference (ISMIR 2012). 199-204. Abstract
Koduri, G. K. (2014).  Culture-aware approaches to modeling and description of intonation using multimodal data. International Conference on Knowledge Engineering and Knowledge Management (EKAW). Abstract
application/pdf icondoctoral-consortium.pdf
Koduri, G. K. (2016).  Towards a multimodal knowledge base for Indian art music: A case study with melodic intonation. Department of Information and Communication Technologies. 242. Abstract
application/pdf iconthesis.pdf
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