TY  - CONF
T1  - An evaluation of score descriptors combined with non-linear models of expressive dynamics in music
T2  - Proceedings of the 18th International Conference on Discovery Science (DS 2015)
Y1  - 2015
A1  - Cancino Chacón, C. E.
A1  - M. Grachten
JF  - Proceedings of the 18th International Conference on Discovery Science (DS 2015)
PB  - Springer
CY  - Banff, Canada
ER  - 

TY  - CONF
T1  - Exploiting Instrument-wise Playing/Non-Playing Labels for Score Synchronization of Symphonic Music
T2  - Proceedings of the 15th International Society for Music Information Retrieval Conference
Y1  - 2014
A1  - Alessio Bazzica
A1  - Cynthia C. S. Liem
A1  - Hanjalic, Alan
AB  - Score synchronization with an audio-visual recording of a symphonic music performance is usually done by solving an audio-to-MIDI alignment problem. In this paper we investigate what role visual channel can have in this process. In particular, we focus on the possibility to represent both the score and the performance by the information about what instrument is active at a given time stamp. More specifically, we investigate to what extent instrument-level 'play' (P) and 'non-play' (NP) labels are informative in the synchronization process. After introducing the P/NP-based representation of the music piece, both at the score and performance level, we define an efficient way of computing the distance between the two representations, which serves as input for the synchronization step based on dynamic time warping. In parallel with assessing the effectiveness of the proposed representation, we also study its robustness when missing and/or erroneous labels occur. Our experimental results show that P/NP-based music piece representation is informative for performance-to-score synchronization and may benefit the existing audio-only approaches.
JF  - Proceedings of the 15th International Society for Music Information Retrieval Conference
CY  - Taipei, Taiwan
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  - <p>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.</p>
JF  - Proceedings of the 6th International Workshop on Machine Learning and Music
CY  - Prague, Czech Republic
ER  -