Biblio

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Vagia, O. (2008).  Singing Phoneme Class Detection In Polyphonic Music Recordings. Abstract
Valero, J. J. (2013).  Measuring Similarity of Automatically Extracted Melodic Pitch Contours for Audio-based Query by Humming of Polyphonic Music Collections. Abstract
Valero-Mas, J. J., Salamon J., & Gómez E. (2015).  Analyzing the influence of pitch quantization and note segmentation on singing voice alignment in the context of audio-based Query-by-Humming. Sound and Music Computing Conference.
application/pdf iconValero-Salamon-Gomez-SMC2015.pdf
Väljamäe, A., Mealla S., Steffert T., Holland S., Marimon X., Oliveira A., et al. (2013).  A Review Of Real-Time Eeg Sonification Research. The 19th International Conference on Auditory Display (ICAD-2013).
Vamvakousis, Z. (2011).  The EyeHarp: A Gaze-Controlled Musical Instrument. Abstract
application/pdf iconVamvakousis-Zacharias-Master-thesis-2011.pdf
Vamvakousis, Z., & Ramirez R. (2013).  Towards a Low Cost Mu-Rhythm Based BCI. Fifth International Brain-Computer Interface Meeting 2013.
application/pdf iconZacharias Vamvakousis_Mu rhythm BCI.pdf
Vamvakousis, Z., & Ramirez R. (2012).  Temporal Control In the EyeHarp Gaze-Controlled Musical Interface. New Interfaces for Musical Expression (NIME) 2012. Abstract
application/pdf iconTemporal Control In the EyeHarp Gaze-Controlled Musical Interface.pdf
Vamvakousis, Z., & Ramirez R. (2015).  EEG Signal classification in a Brain-Computer Music Interface. 8th International Workshop on Machine Learning and Music. 28-30.
Vamvakousis, Z., & Ramirez R. (2014).  P300 Harmonies: A Brain-Computer Musical Interface. International Computer Music Conference/Sound and Music Computing Conference. Abstract
application/pdf iconP300 Harmonies: A Brain-Computer Musical Interface
Vamvakousis, Z. (2016).  Digital Musical Instruments for People with Physical Disabilities. Department of Information and Communication Technologies. 163.
Vamvakousis, Z., & Ramirez R. (2011).  THE EYEHARP: AN EYE-TRACKING-BASED MUSICAL INSTRUMENT. 8th Sound and Music Computing Conference.
Vamvakousis, Z., & Ramirez R. (2015).  Is an auditory P300-based Brain-Computer Musical Interface feasible?. CMMR2015: International Workshop on BCMI.
application/pdf iconFull Paper
Vamvakousis, Z., & Ramirez R. (2013).  A High-Throughput Auditory P300 Interface for Everyone. 12th European AAATE Conference. 478-482. Abstract
Vamvakousis, Z., & Ramirez R. (2016).  The EyeHarp: A Gaze-Controlled Digital Musical Instrument. Frontiers in Psychology . 7,
Vamvakousis, Z., & Ramirez R. (2012).  A Brain-Gaze Controlled Musical Interface. Berlin BCI Workshop 2012 - Advances in Neurotechnology.
application/pdf iconBrEyeHarpPoster.pdf
Vamvakousis, Z., & Ramirez R. (2015).  A PERCUSSIVE MUSICAL INTERFACE FOR A QUADRIPLEGIC PATIENT. International Symposium on Performance Science 2015. 60-61.
Van Balen, J. (2011).  Automatic Recognition of Samples in Musical Audio. Abstract
application/pdf iconVan-Balen-Jan-Master-thesis-2011.pdf
Van Balen, J., Haro G. G., & Serrà J. (2012).  Automatic Identification of Samples in Hip Hop Music. 9th International Symposium on Computer Music Modeling and Retrieval (CMMR).
Vaquero, C. (2012).  Improving the description of instrumental sounds by using ontologies and automatic content analysis. Abstract
application/pdf iconCarlos-Vaquero-Master-Thesis-2012.pdf
Vega, S., & Janer J. (2010).  Quantifying Masking in Multi-track Recordings. Proceedings of SMC Conference 2010, Barcelona. Abstract
Vega, S. (2010).  Content-based Processing for Masking Minimization in Multi-track Recording. Abstract
Villa Betancourt, L. M. (2011).  Analyzing the effects of room acoustics in different music recordings. Abstract
application/pdf iconVilla-Betancourt-Lina-Maria-Master-thesis-2011.pdf
Villafuerte, L., Markova M. S., & Jordà S. (2012).  Acquisition of Social Abilities Through Musical Tangible User Interface: Children with Autism Spectrum Condition and the Reactable. CHI'12. 745-760. Abstract
application/pdf iconp745-villafuerte.pdf
Villavicencio, F., Röbel A., & Rodet X. (2009).  Applying Improved Spectral Modeling for High Quality Voice Conversion . (Signal Processing Society, Ed.).ICASSP 2009. Abstract
Villavicencio, F., Bonada J., & Hisaminato Y. (2015).  Observation-Model Error Compensation for Enhanced Spectral Envelope Transformation in Voice Conversion. IEEE International Workshop on Machine Learning for Signal Processing. Abstract
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