TY - CONF T1 - Artificial Intelligence in the Concertgebouw T2 - Proceedings of the International Joint Conference on Artificial Intelligence Y1 - 2015 A1 - Andreas Arzt A1 - H. Frostel A1 - Th. Gadermaier A1 - M. Gasser A1 - G. Widmer A1 - M. Grachten JF - Proceedings of the International Joint Conference on Artificial Intelligence CY - Buenos Aires, Argentina ER - TY - CONF T1 - Classical Music on the Web - User Interfaces and Data Representations T2 - Proceedings of the 16th International Society for Music Information Retrieval Conference, {ISMIR} 2015, Málaga, Spain, October 26-30, 2015 Y1 - 2015 A1 - Martin Gasser A1 - Andreas Arzt A1 - Thassilo Gadermaier A1 - Maarten Grachten A1 - Gerhard Widmer JF - Proceedings of the 16th International Society for Music Information Retrieval Conference, {ISMIR} 2015, Málaga, Spain, October 26-30, 2015 UR - http://ismir2015.uma.es/articles/123_Paper.pdf ER - TY - CONF T1 - Flexible Score Following: The Piano Music Companion and Beyond T2 - Proceedings of the Vienna Talk on Music Acoustics Y1 - 2015 A1 - Andreas Arzt A1 - Goebl, W. A1 - Widmer, G. JF - Proceedings of the Vienna Talk on Music Acoustics ER - TY - CONF T1 - I-Vectors for Timbre-Based Music Similarity and Music Artist Classification T2 - Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR) Y1 - 2015 A1 - Hamid Eghbal-zadeh A1 - Bernhard Lehner A1 - Markus Schedl A1 - Gerhard Widmer JF - Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR) CY - Malaga, Spain ER - TY - CONF T1 - Real-time Music Tracking using Multiple Performances as a Reference T2 - Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) Y1 - 2015 A1 - Andreas Arzt A1 - Widmer, G. JF - Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) ER - TY - CONF T1 - Timbral Modeling for Music Artist Recognition Using I-vectors T2 - Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015) Y1 - 2015 A1 - Hamid Eghbal-zadeh A1 - Markus Schedl A1 - Gerhard Widmer JF - Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015) CY - Nice, France ER - TY - CONF T1 - Analysis and prediction of expressive dynamics using Bayesian linear models T2 - 1st international workshop on computer and robotic Systems for Automatic Music Performance (SAMP14) Y1 - 2014 A1 - Grachten, M A1 - Cancino Chacón, C. E. A1 - Widmer, G. JF - 1st international workshop on computer and robotic Systems for Automatic Music Performance (SAMP14) CY - Venice, Italy ER - TY - CONF T1 - Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio T2 - 53rd AES Conference on Semantic Audio Y1 - 2014 A1 - Collins, Tom A1 - Sebastian Böck A1 - Krebs, Florian A1 - Widmer, Gerhard JF - 53rd AES Conference on Semantic Audio CY - London, UK ER - TY - CONF T1 - The Complete Classical Music Companion V0.9 T2 - 53rd AES Conference on Semantic Audio Y1 - 2014 A1 - Andreas Arzt A1 - Sebastian Böck A1 - Flossmann, Sebastian A1 - Frostel, Harald A1 - Gasser, Martin A1 - Widmer, Gerhard JF - 53rd AES Conference on Semantic Audio CY - London, UK ER - TY - CONF T1 - PatternViewer: An Application for Exploring Repetitive and Tonal Structure T2 - Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014) Y1 - 2014 A1 - Ali Nikrang A1 - Tom Collins A1 - Gerhard Widmer JF - Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014) CY - Taipei, Taiwan ER - TY - CONF T1 - The Piano Music Companion T2 - Proceedings of the Conference on Prestigious Applications of Intelligent Systems (PAIS) Y1 - 2014 A1 - Andreas Arzt A1 - Sebastian Böck A1 - Flossmann, S. A1 - Frostel, H. A1 - Gasser, M. A1 - Cynthia C. S. Liem A1 - Widmer, G. JF - Proceedings of the Conference on Prestigious Applications of Intelligent Systems (PAIS) ER - TY - CONF T1 - Tempo- and Transposition-invariant Identification of Piece and Score Position T2 - Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) Y1 - 2014 A1 - Andreas Arzt A1 - Widmer, G. A1 - Sonnleitner, R. JF - Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) ER - TY - CONF T1 - What Really Moves Us in Music: Expressivity as a Challenge to Semantic Audio Research T2 - 53rd AES Conference on Semantic Audio Y1 - 2014 A1 - Widmer, Gerhard JF - 53rd AES Conference on Semantic Audio CY - London, UK ER - TY - CONF T1 - Automatic alignment of music performances with structural differences T2 - Proceedings of the 14th International Society for Music Information Retrieval Conference Y1 - 2013 A1 - Grachten, Maarten A1 - Gasser, Martin A1 - Andreas Arzt A1 - Widmer, Gerhard AB -

Both in interactive music listening, and in music performance research, there is a need for automatic alignment of different recordings of the same musical piece. This task is challenging, because musical pieces often contain parts that may or may not be repeated by the performer, possibly leading to structural differences between performances (or between performance and score). The most common alignment method, dynamic time warping (DTW), cannot handle structural differences adequately, and existing approaches to deal with structural differences explicitly rely on the annotation of ``break points'' in one of the sequences. We propose a simple extension of the Needleman-Wunsch algorithm to deal effectively with structural differences, without relying on annotations. We evaluate several audio features for alignment, and show how an optimal value can be found for the cost-parameter of the alignment algorithm. A single cost value is demonstrated to be valid across different types of music. We demonstrate that our approach yields roughly equal alignment accuracies compared to DTW in the absence of structural differences, and superior accuracies when structural differences occur.

 

JF - Proceedings of the 14th International Society for Music Information Retrieval Conference CY - Curitiba, Brazil ER - TY - CONF T1 - Enhanced peak picking for onset detection with recurrent neural networks T2 - Proceedings of the 6th International Workshop on Machine Learning and Music Y1 - 2013 A1 - Sebastian Böck A1 - Schlüter, Jan A1 - Widmer, Gerhard KW - onset detection KW - peak-picking AB -

We present a new neural network based peak-picking algorithm for common onset detection functions. Compared to existing hand-crafted methods it yields a better performance and leads to a much lower number of false negative detections. The performance is evaluated on basis of a huge dataset with over 25k annotated onsets and shows a significant improvement over existing methods in cases of signals with previously unknown levels.

JF - Proceedings of the 6th International Workshop on Machine Learning and Music CY - Prague, Czech Republic ER - TY - CONF T1 - Local Group Delay based Vibrato and Tremolo Suppression for Onset Detection T2 - Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013) Y1 - 2013 A1 - Sebastian Böck A1 - Widmer, Gerhard KW - local group delay KW - onset detection KW - tremolo suppression KW - vibrato suppression AB -

We present SuperFlux - a new onset detection algorithm with vibrato suppression. It is an enhanced version of the universal spectral flux onset detection algorithm, and reduces the number of false positive detections considerably by tracking spectral trajectories with a maximum filter. Especially for music with heavy use of vibrato (e.g., sung operas or string performances), the number of false positive detections can be reduced by up to 60% without missing any additional events. Algorithm performance was evaluated and compared to state-of-the-art methods on the basis of three different datasets comprising mixed audio material (25,927 onsets), violin recordings (7,677 onsets) and operatic solo voice recordings (1,448 onsets). Due to its causal nature, the algorithm is applicable in both offline and online real-time scenarios.

JF - Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013) CY - Curitiba, Brazil ER - TY - CONF T1 - Maximum Filter Vibrato Suppression for Onset Detection T2 - Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13) Y1 - 2013 A1 - Sebastian Böck A1 - Widmer, Gerhard KW - maximum filter KW - onset detection KW - vibrato suppression AB -

 

We present SuperFlux - a new onset detection algorithm with vibrato suppression. It is an enhanced version of the universal spectral flux onset detection algorithm, and reduces the number of false positive detections considerably by tracking spectral trajectories with a maximum filter. Especially for music with heavy use of vibrato (e.g., sung operas or string performances), the number of false positive detections can be reduced by up to 60% without missing any additional events. Algorithm performance was evaluated and compared to state-of-the-art methods on the basis of three different datasets comprising mixed audio material (25,927 onsets), violin recordings (7,677 onsets) and operatic solo voice recordings (1,448 onsets). Due to its causal nature, the algorithm is applicable in both offline and online real-time scenarios.

JF - Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13) CY - Maynooth, Ireland ER - TY - CONF T1 - PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences T2 - SMAC Stockholm Music Acoustics Conference 2013 and SMC Sound and Music Computing Conference 2013 Y1 - 2013 A1 - Gómez, E. A1 - Grachten, M. A1 - Hanjalic, A. A1 - Janer, J. A1 - Jordà, S. A1 - Julià, C. F. A1 - Cynthia C. S. Liem A1 - Martorell, A. A1 - Schedl, M. A1 - Widmer, G. AB -

Modern digital multimedia and internet technology have radically changed the ways people find entertainment and discover new interests online, seemingly without any phys- ical or social barriers. Such new access paradigms are in sharp contrast with the traditional means of entertainment. An illustrative example of this is live music concert perfor- mances that are largely being attended by dedicated audi- ences only.


This papers introduces the PHENICX project, which aims at enriching traditional concert experiences by using state- of-the-art multimedia and internet technologies. The project focuses on classical music and its main goal is twofold: (a) to make live concerts appealing to potential new au- dience and (b) to maximize the quality of concert experi- ence for everyone. Concerts will then become multimodal, multi-perspective and multilayer digital artifacts that can be easily explored, customized, personalized, (re)enjoyed and shared among the users. The paper presents the main scientific objectives on the project, provides a state of the art review on related research and presents the main chal- lenges to be addressed.

JF - SMAC Stockholm Music Acoustics Conference 2013 and SMC Sound and Music Computing Conference 2013 CY - Stockholm, Sweden ER - TY - CONF T1 - Refined Spectral Template Models for Score Following T2 - Proceedings of the Sound and Music Computing Conference (SMC) Y1 - 2013 A1 - Korzeniowski, Filip A1 - Widmer, Gerhard AB - Score followers often use spectral templates for notes and chords to estimate the similarity between positions in the score and the incoming audio stream. Here, we propose two methods on different modelling levels to improve the quality of these templates, and subsequently the quality of the alignment. The first method focuses on creating more informed tem- plates for individual notes. This is achieved by estimating the template based on synthesised sounds rather than generic Gaussian mixtures, as used in current state-of-the-art systems. The second method introduces an advanced approach to aggregate individual note templates into spectral templates representing a specific score position. In contrast to score chordification, the common procedure used by score fol- lowers to deal with polyphonic scores, we use weighting functions to weight notes, observing their temporal relationships. We evaluate both methods against a dataset of classical piano music to show their positive impact on the alignment quality. JF - Proceedings of the Sound and Music Computing Conference (SMC) CY - Stockholm, Sweden ER - TY - Generic T1 - Rhytmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio T2 - Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013) Y1 - 2013 A1 - Krebs, Florian A1 - Sebastian Böck A1 - Widmer, Gerhard AB -

Rhythmic patterns are an important structural element in music. This paper investigates the use of rhythmic pattern modeling to infer metrical structure in musical audio recordings. We present a Hidden Markov Model (HMM) based system that simultaneously extracts beats, downbeats, tempo, meter, and rhythmic patterns. Our model builds upon the basic structure proposed by Whiteley et. al, which we further modified by introducing a new observation model: rhythmic patterns are learned directly from data, which makes the model adaptable to the rhythmical structure of any kind of music. For learning rhythmic patterns and evaluating beat and downbeat tracking, 697 ballroom dance pieces were annotated with beat and measure information. The results showed that explicitly modeling rhythmic patterns of dance styles drastically reduces octave errors (detection of half or double tempo) and substantially improves downbeat tracking.

JF - Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013) ER - TY - CONF T1 - Tracking Rests and Tempo Changes: Improved Score Following with Particle Filters T2 - Proceedings of the International Computer Music Conference (ICMC) Y1 - 2013 A1 - Korzeniowski, Filip A1 - Krebs, Florian A1 - Andreas Arzt A1 - Widmer, Gerhard AB -

In this paper we present a score following system based on a Dynamic Bayesian Network, using particle filtering as inference method. The proposed model sets itself apart from existing approaches by including two new extensions: A multi-level tempo model to improve alignment quality of performances with challenging tempo changes, and an extension to reflect different expressive characteristics of notated rests. Both extensions are evaluated against a dataset of classical piano music. As the results show, the extensions improve both the accuracy and the robustness of the algorithm.

JF - Proceedings of the International Computer Music Conference (ICMC) CY - Perth, Australia ER -