Biblio

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Cuesta, H., Gómez E., Martorell A., & Loáiciga F. (2018).  Analysis of Intonation in Unison Choir Singing. 15th International Conference on Music Perception and Cognition (ICMPC).
Cuesta, H., & Gómez E. (2017).  Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies.
Cuesta, H., Gómez E., & Chandna P. (2019).  A Framework for Multi-f0 Modeling in SATB Choir Recordings. Sound and Music Computing Conference. 447-453. Abstract
Cuesta, H. (2017).  Pitch Estimation of Choir Music using Deep Learning Strategies: from Solo to Unison Recordings. Abstract
Cuarón-Sánchez, J. A. (2014).  Perceptual Validation of Chord Estimation Evaluation Standards. Abstract
application/pdf iconJorge-Cuaron-Master-Thesis-2014.pdf
Costa, M. (2008).  GeoMuzik: A Geographic Interface for Large Music Collections. Abstract
Correya, A. A. (2017).  Retrieving Ambiguous Sounds Using Perceptual Timbral Attributes in Audio Production Environments. Abstract
Comajuncosas, J. M. (2010).  Expressive Breath Modeling. Abstract
Coleman, G., Bonada J., & Maestre E. (2011).  Adding Dynamic Smoothing to Mixture Mosaicing Synthesis. Spars11: Workshop on Signal Processing with Adaptive Sparse Structured Representations. Abstract
application/pdf icondynmos_spars11.pdf
Coleman, G. (2007).  Mused: Navigating the Personal Sample Library. International Computer Music Conference. Abstract
application/pdf iconfulltext of mused07
Coleman, G., Maestre E., & Bonada J. (2010).  Augmenting Sound Mosaicing with Descriptor-driven Transformation. Digital Audio Effects. Abstract
application/pdf icondafx10_augmos.pdf
Coleman, G., & Bonada J. (2008).  Sound Transformation by Descriptor Using an Analytic Domain. International Conference on Digital Audio Effects. Abstract
Coleman, G., & Villavicencio F. (2010).  Predicting Transformed Audio Descriptors: A System Design and Evaluation. Workshop on Machine Learning and Music (ACM Multimedia 2010). Abstract
application/pdf iconmml10.pdf
Coath, M., Denham S. L., Smith L. M., Honing H., Hazan A., Holonowicz P., et al. (2009).  Model cortical responses for the detection of perceptual onsets and beat tracking in singing. Connection Science. 21(2-3), 193-205. Abstract
application/pdf iconCoathEtAl08ConnSciPreprint.pdf
Clouth, R. (2013).  Mobile Augmented Reality as a Control Mode for Real-time Music Systems. Abstract
application/pdf iconRobert-Clouth-Master-Thesis-2013.pdf
Cimarone, L., Bozkurt B., & Serra X. (2019).  Automatic Dastgah Recognition Using Markov Models. 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). Abstract
Christopoulos, C. (2014).  From gesture to sound: A study for a musical interface using gesture following techniques. Abstract
application/pdf iconCharalampos-Christopoulos-Master-Thesis-2014.pdf
Chordia, P., & Şentürk S. (2013).  Joint Recognition of Raag and Tonic in North Indian Music. Computer Music Journal. 37(3), 82–98. Abstract
Cherla, S. (2011).  Automatic Phrase Continuation from Guitar and Bass-guitar Melodies. Abstract
Cherla, S., Purwins H., & Marchini M. (2013).  Automatic phrase continuation from guitar and bass guitar melodies. Computer Music Journal. 37, 68–81.
Chen, G., Wang T. - G., & Herrera P. (2008).  A Novel Music Retrieval System with Relevance Feedback. Third International Conference on Innovative Computing, Information and Control. Abstract
Chen, J. (2013).  Gesture Analysis and Recognition of Bow-Stringed Instruments using Motion Capture System Qualisys. Abstract
Chen, K. (2013).  Characterization of Pitch Intonation of Beijing Opera. Abstract
application/pdf iconKainan-Chen-Master-Thesis-2013.pdf
Chen, G., Wang T. - G., Gong L., & Herrera P. (2010).  Multi-Class Support Vector Machine Active Learning for Music Annotation. International Journal of Innovative Computing, Information and Control. 921-930. Abstract
Chen, G., Wang T. - G., & Herrera P. (2008).  Relevance Feedback in An Adaptive Space with One-Class SVM for Content-Based Music Retrieval. IEEE International Conference on Audio, Language and Image Processing 2008. Abstract
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