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pro vyhledávání: '"Peter, Silvan"'
Autor:
Peter, Silvan David, Widmer, Gerhard
Note alignment refers to the task of matching individual notes of two versions of the same symbolically encoded piece. Methods addressing this task commonly rely on sequence alignment algorithms such as Hidden Markov Models or Dynamic Time Warping (D
Externí odkaz:
http://arxiv.org/abs/2408.04309
Magnonics is an emerging research field that addresses the use of spin waves (magnons), purely magnetic waves, for information transport and processing. Spin waves are a potential replacement for electric current in modern computational devices that
Externí odkaz:
http://arxiv.org/abs/2405.03506
Publikováno v:
Proceedings of the Forum for Information Retrieval Evaluation, FIRE, 2023, Panjim, India
Semantic embeddings play a crucial role in natural language-based information retrieval. Embedding models represent words and contexts as vectors whose spatial configuration is derived from the distribution of words in large text corpora. While such
Externí odkaz:
http://arxiv.org/abs/2401.02979
Autor:
Peter, Silvan David, Cancino-Chacón, Carlos Eduardo, Karystinaios, Emmanouil, Widmer, Gerhard
Publikováno v:
10th International Conference on Digital Libraries for Musicology, November 10, 2023, Milan, Italy
Generative models of expressive piano performance are usually assessed by comparing their predictions to a reference human performance. A generative algorithm is taken to be better than competing ones if it produces performances that are closer to a
Externí odkaz:
http://arxiv.org/abs/2401.00471
Autor:
Peter, Silvan David
Publikováno v:
Proceedings of the 24th International Society for Music Information Retrieval Conference, {ISMIR} 2023, Milan, Italy, November 5-9, 2023
Symbolic Music Alignment is the process of matching performed MIDI notes to corresponding score notes. In this paper, we introduce a reinforcement learning (RL)-based online symbolic music alignment technique. The RL agent - an attention-based neural
Externí odkaz:
http://arxiv.org/abs/2401.00466
Denoising Diffusion Probabilistic Models (DDPMs) have made great strides in generating high-quality samples in both discrete and continuous domains. However, Discrete DDPMs (D3PMs) have yet to be applied to the domain of Symbolic Music. This work pre
Externí odkaz:
http://arxiv.org/abs/2305.09489
Autor:
Cancino-Chacón, Carlos, Peter, Silvan, Hu, Patricia, Karystinaios, Emmanouil, Henkel, Florian, Foscarin, Francesco, Varga, Nimrod, Widmer, Gerhard
This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a musician who accompanies a soloist playing a given musical piece, our system can produce a human-like rendition of the accompaniment part that follows the soloi
Externí odkaz:
http://arxiv.org/abs/2304.12939
Autor:
Foscarin, Francesco, Karystinaios, Emmanouil, Peter, Silvan David, Cancino-Chacón, Carlos, Grachten, Maarten, Widmer, Gerhard
Publikováno v:
Proceedings of the Music Encoding Conference (MEC), 2022, Halifax, Canada
This paper presents the specifications of match: a file format that extends a MIDI human performance with note-, beat-, and downbeat-level alignments to a corresponding musical score. This enables advanced analyses of the performance that are relevan
Externí odkaz:
http://arxiv.org/abs/2206.01104
Autor:
Cancino-Chacón, Carlos, Peter, Silvan David, Karystinaios, Emmanouil, Foscarin, Francesco, Grachten, Maarten, Widmer, Gerhard
Publikováno v:
Proceedings of the Music Encoding Conference (MEC), 2022, Halifax, Canada
Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like note arrays (lists of timed pitched events) and 2D piano roll matrices,
Externí odkaz:
http://arxiv.org/abs/2206.01071
A piece of music can be expressively performed, or interpreted, in a variety of ways. With the help of an online questionnaire, the Con Espressione Game, we collected some 1,500 descriptions of expressive character relating to 45 performances of 9 ex
Externí odkaz:
http://arxiv.org/abs/2008.02194