Biblio

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Book Chapter
Purwins, H., Graepel T., Blankertz B., & Obermayer K. (2004).  Correspondence analysis for visualizing interplay of pitch class, key, and composer. (Guerino Mazzola, Thomas Noll, Emilio Luis-Puebla, Ed.).Perspectives in Mathematical and Computational Music Theory. 432-454. Abstract
Purwins, H., Normann I., & Obermayer K. (2005).  Unendlichkeit - Konstruktion akustischer Paradoxien. (Manfred Stahnke, Ed.).Mikrotöne und mehr – Auf György Ligetis Hamburger Pfaden. 39-80.
Marchini, M., & Purwins H. (2011).  Unsupervised Analysis and Generation of Audio Percussion Sequences. (Ystad, Sølvi, Aramaki, Mitsuko, Kronland-Martinet, Richard, Jensen, Kristoffer, Ed.).Exploring Music Contents. 6684, 205-218.
Conference Paper
Papiotis, P., & Purwins H. (2010).   A Lyrics-Matching QBH System for Interactive Environments. Sound and Music Computing Conference. Abstract
application/pdf iconPapiotis_Purwins_QBH_SMC2010.pdf
Grachten, M., Marxer R., Hazan A., & Purwins H. (2007).  Attention as musical interplay of bottom-up accents and expectation. GOSPEL Workshop. Abstract
Anniés, R., Martínez E., Adiloglu K., Purwins H., & Obermayer K. (2007).  Classification Schemes for Step Sounds Based on Gammatone-Filters. NIPS-Workshop Music, Brain, & Cognition. Abstract
Susini, P., Misdariis N., Lemaitre G., Houix O., Rocchesso D., Polotti P., et al. (2006).  Closing the loop of sound evaluation and design. Perceptual Quality of Systems. Abstract
Hazan, A., Herrera P., Marxer R., Grachten M., & Purwins H. (2007).  Computational Modeling of Statistical Learning of Tone Sequences (Poster). International Conference on Cognitive and Neural Systems (ICCNS 2007). Abstract
Purwins, H., Blankertz B., & Obermayer K. (2001).  Constant Q Profiles for Tracking Modulations in Audio Data. International Computer Music Conference. 407-410.
Purwins, H., & Blankertz B. (2005).  CQ-profiles for key finding in audio. Abstract
Marxer, R., Holonowicz P., Hazan A., & Purwins H. (2008).  Dynamical Hierarchical Self-Organization Of Harmonic And Motivic Musical Categories. Acoustics. Abstract
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
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
Purwins, H., Blankertz B., & Obermayer K. (2000).  A new method for tracking modulations in tonal music in audio data format. International Joint Conference on Neural Network (IJCNN'00). 6, 270-275. Abstract
Normann, I., Purwins H., & Obermayer K. (2001).  Oktavambiguität als Konkurrenz zwischen Tonhöhe und Klangfarbe. DAGA. Abstract
Martínez, E., Adiloglu K., Anniés R., Purwins H., & Obermayer K. (2007).  Perceptual Representations for Classification of Everyday Sounds. Audio Mostly . Abstract
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
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.
Papiotis, P., & Purwins H. (2010).  Real-time Accompaniment using lyrics-matching QBH. 7th International Symposium on Computer Music Modeling and Retrieval (CMMR). 279-280. Abstract
application/pdf iconPapiotis_CMMR2010_QBHDemo.pdf
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
Purwins, H., Blankertz B., Dornhege G., & Obermayer K. (2004).  Scale Degree Profiles from Audio Investigated with Machine Learning. Audio Engineering Society Convention. Abstract
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
Scholler, S., & Purwins H. (2010).  Sparse Coding for Drum Sound Classification and its Use as a Similarity Measure. 3rd International Workshop on Machine Learning and Music (MML’10) at ACM Multimedia 2010 . Abstract
application/pdf iconacm_ml_sparse.pdf
Normann, I., Purwins H., & Obermayer K. (2001).  Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones. International Computer Music Conference. 274-276. Abstract
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