Biblio

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Marinescu, M., & Ramirez R. (2008).  Expressive Performance in the Human Tenor Voice. Sound and Music Computing Conference. Abstract
Marley, W. (2013).  Processing an Instrumental Gesture in the Reactable as a Method of Computer Improvisation. Abstract
application/pdf iconLiam-Marley-Master-Thesis-2013.pdf
Marques, G., Lopes M., Sordo M., Langlois T., & Gouyon F. (2010).  Additional Evidence That Common Low-level Features Of Individual Audio Frames Are Not Representative Of Music Genre. 7th Sound and Music Computing Conference, 2010, Barcelona, Spain. Abstract
application/pdf icon20.pdf
Marques, G., Langlois T., Gouyon F., Lopes M., & Sordo M. (2011).  Short-term feature space and Music Genre Classification. Journal of New Music Research. 40(2), 127-137. Abstract
Marrero, M., & Urbano J. (2015).  Information Extraction Grammars. 37th European Conference on Information Retrieval. 265-270. Abstract
application/pdf icon056-information-extraction-grammars.pdf
Martel, H., & Miron M. (2017).  Data augmentation for deep learning source separation of HipHop songs. 10th International Workshop on Machine Learning and Music. Abstract
Marti, F., Lopez D., & Resina E. (1998).  Vocem An Application for Real-Time Granular Synthesis. Abstract
Martín, D. (2009).  Automatic accompaniment for improvised music. Abstract
Martinez, M. S. (2019).  MORPHEX - A Spectral Morphing Synthesizer. Abstract
Martinez, A. (2004).  Técnicas de procesado de lenguaje natural para gestión de contenidos de audio análisis de letras y etiquetado.
Martínez, E., Celma Ò., Sordo M., De Jong, B, & Serra X. (2009).  Extending the folksonomies of freesound.org using content-based audio analysis. Sound and Music Computing Conference. Abstract
Martínez, E., Adiloglu K., Anniés R., Purwins H., & Obermayer K. (2007).  Perceptual Representations for Classification of Everyday Sounds. Audio Mostly . Abstract
Martínez, E. (2008).  Issues on Retrieval of Sound Effects in Large Collaborative Databases.
Martorell, A. (2009).  Tonal stability modeling from audio chroma features. Abstract
Martorell, A., & Gómez E. (2014).  Systematic multi-scale set-class analysis. 15th International Society for Music Information Retrieval (ISMIR) Conference. Abstract
application/pdf iconSystematic multi-scale set-class analysis.pdf
Martorell, A., & Gómez E. (2015).  Contextual set-class analysis. (D. Meredith, Ed.).Computational Music Analysis. 81-110. Abstract
application/pdf iconpreprint version
Martorell, A. (2015).  Digital encodings of early music: usability factors for computational analysis. International Workshop on Musicology and Informatics in Dialogue. Abstract
Martorell, A., & Gómez E. (2011).  Two-Dimensional Visual Inspection of Pitch-Space, Many Time-Scales and Tonal Uncertainty Over Time. 3rd International Conference on Mathematics and Computation in Music (MCM 2011). Abstract
application/pdf iconmcm2011-2.pdf
Martorell, A., Toiviainen P., & Gómez E. (2012).  Temporal multi-scale considerations in the modeling of tonal cognition from continuous rating experiments. International Conference on Music Perception and Cognition. Abstract
application/pdf iconTemporal multi-scale considerations in the modeling of tonal cognition from continuous rating experiments.pdf
Martorell, A. (2013).  Modelling tonal context dynamics by temporal multi-scale analysis. Department of Information and Communication Technologies. 153. Abstract
application/pdf iconMartorell (2013) - Modelling tonal context dynamics by temporal multi-scale analysis.pdf
Martorell, A., & Gómez E. (2014).  Hierarchical multi-scale set-class analysis. Journal of Mathematics and Music: Mathematical and Computational Approaches to Music Theory, Analysis, Composition and Performance. 1-14. Abstract
Martorell, A. (2014).  Set-class surface analysis: a hierarchical multi-scale approach. 7th Workshop on Machine Learning and Music (MML 2014). Abstract
application/pdf iconSet-class surface analysis. A hierarchical multi-scale approach.pdf
Martorell, A. (2014).  Systematic set-class surface analysis: a hierarchical multi-scale approach. 8th European Music Analysis Conference (EuroMAC). Abstract
Marxer, R., Holonowicz P., Hazan A., & Purwins H. (2008).  Dynamical Hierarchical Self-Organization Of Harmonic And Motivic Musical Categories. Acoustics. Abstract
Marxer, R., & Janer J. (2013).  Low-latency Bass Separation using Harmonic-Percussion Decomposition. International Conference on Digital Audio Effects Conference (DAFx-13). Abstract
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