Note: This bibliographic page is archived and will no longer be updated. For an up-to-date list of publications from the Music Technology Group see the Publications list .

Biblio

Filters: Author is Holonowicz, P.
2010
Holonowicz, P. , & Herrera P. (2010). Detection of polyphonic music note onsets by application of the Bayesian Theory of Surprise . ISCA Tutorial and Research Workshop on Statistical And Perceptual Audition. Abstract
2009
Purwins, H. , Holonowicz P. , & Herrera P. (2009). Polynomial Extrapolation for Prediction of Surprise Based on Loudness - A Preliminary Study . Sound and Music Computing Conference. Abstract
Holonowicz, P. , Herrera P. , & Purwins H. (2009). The Role of Loudness in Detection of Surprising Events in Music Recordings . 7th Triennial Conference of European Society for the Cognitive Sciences of Music (ESCOM), 2009. Abstract
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
2008
Hazan, A. , Holonowicz P. , Salselas I. , Herrera P. , Purwins H. , Knast A. , et al. (2008). Modeling the Acquisition of Statistical Regularities in Tone Sequences . 30th Annual Meeting of the Cognitive Science Society. Abstract
Marxer, R. , Holonowicz P. , Hazan A. , & Purwins H. (2008). Dynamical Hierarchical Self-Organization Of Harmonic And Motivic Musical Categories . Acoustics. Abstract
Hazan, A. , Holonowicz P. , Salselas I. , Herrera P. , Purwins H. , Knast A. , et al. (2008). Poster - Modeling the Acquisition of Statistical Regularities in Tone Sequences . CogSci 2008.
2007
Marxer, R. , Holonowicz P. , Purwins H. , & Hazan A. (2007). Dynamical Hierarchical Self-Organization of Harmonic, Motivic, and Pitch Categories . Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS). Abstract
Hazan, A. , Brossier P. , Holonowicz P. , Herrera P. , & Purwins H. (2007). Expectation Along The Beat A Use Case For Music Expectation Models . International Computer Music Conference. Abstract