Biblio

Export 44 results:
Sort by: Author Title [ Type (Desc)] Year
Filters: Author is Purwins, P.  [Clear All Filters]
Conference Paper
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
Blankertz, B., Purwins H., & Obermayer K. (1999).  Toroidal models of inter-key relations in tonal music. VI. International Conference on Systematic and Comparative Musicology. Abstract
Marchini, M., & Purwins H. (2010).  Unsupervised Generation of Percussion Sound Sequences from a Sound Example. Sound and Music Computing Conference. Abstract
application/pdf iconMarchiniPurwinsContinuationSMC2010Final.pdf
Marxer, R., & Purwins H. (2010).  Unsupervised Incremental Learning and Prediction of Audio Signals. International Symposium on Music Acoustics. Abstract
application/pdf iconMarxerPurwinsUnsupervisedIncrementalPredictionAudioISMA2010.pdf
Marchini, M., & Purwins H. (2010).  An Unsupervised System for the Synthesis of Variations from Audio Percussion Patterns. 7th International Symposium on Computer Music Modeling and Retrieval (CMMR). 277-278. Abstract
application/pdf iconMarchiniPurwinsCMMR2010Demo.pdf
Hazan, A., Brossier P., Marxer R., & Purwins H. (2007).  What/when causal expectation modelling in monophonic pitched and percussive audio. NIPS-Workshop Music, Brain, & Cognition. Abstract
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.
intranet