Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Henkel, Florian"'
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
We present a prototype of an automatic page turning system that works directly on real scores, i.e., sheet images, without any symbolic representation. Our system is based on a multi-modal neural network architecture that observes a complete sheet im
Externí odkaz:
http://arxiv.org/abs/2111.06643
Convolutional Neural Networks (CNNs) have been dominating classification tasks in various domains, such as machine vision, machine listening, and natural language processing. In machine listening, while generally exhibiting very good generalization c
Externí odkaz:
http://arxiv.org/abs/2107.08933
Autor:
Henkel, Florian, Widmer, Gerhard
This paper addresses the problem of sheet-image-based on-line audio-to-score alignment also known as score following. Drawing inspiration from object detection, a conditional neural network architecture is proposed that directly predicts x,y coordina
Externí odkaz:
http://arxiv.org/abs/2105.04309
Deep Neural Networks are known to be very demanding in terms of computing and memory requirements. Due to the ever increasing use of embedded systems and mobile devices with a limited resource budget, designing low-complexity models without sacrifici
Externí odkaz:
http://arxiv.org/abs/2011.02955
This paper addresses the task of score following in sheet music given as unprocessed images. While existing work either relies on OMR software to obtain a computer-readable score representation, or crucially relies on prepared sheet image excerpts, w
Externí odkaz:
http://arxiv.org/abs/2007.10736
The goal of score following is to track a musical performance, usually in the form of audio, in a corresponding score representation. Established methods mainly rely on computer-readable scores in the form of MIDI or MusicXML and achieve robust and r
Externí odkaz:
http://arxiv.org/abs/1910.07254
Score following is the process of tracking a musical performance (audio) with respect to a known symbolic representation (a score). We start this paper by formulating score following as a multimodal Markov Decision Process, the mathematical foundatio
Externí odkaz:
http://arxiv.org/abs/1807.06391
Autor:
Dominik Müller
Publikováno v:
Jahrbuch der Raabe-Gesellschaft. 52:141-156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2467f1fb69f760f7a894a3012610c0d
https://doi.org/10.1515/9783110236705.141
https://doi.org/10.1515/9783110236705.141
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