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pro vyhledávání: '"Böck, Sebastian"'
Deep Learning has become state of the art in visual computing and continuously emerges into the Music Information Retrieval (MIR) and audio retrieval domain. In order to bring attention to this topic we propose an introductory tutorial on deep learni
Externí odkaz:
http://arxiv.org/abs/2001.05266
Publikováno v:
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 246-250
We investigate a late-fusion approach to piano transcription, combined with a strong temporal prior in the form of a handcrafted Hidden Markov Model (HMM). The network architecture under consideration is compact in terms of its number of parameters a
Externí odkaz:
http://arxiv.org/abs/1906.09165
Viewing polyphonic piano transcription as a multitask learning problem, where we need to simultaneously predict onsets, intermediate frames and offsets of notes, we investigate the performance impact of additional prediction targets, using a variety
Externí odkaz:
http://arxiv.org/abs/1902.04390
Akademický článek
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Autor:
Einzmann, Kathrin, Atzberger, Clement, Pinnel, Nicole, Glas, Christina, Böck, Sebastian, Seitz, Rudolf, Immitzer, Markus
Publikováno v:
In Remote Sensing of Environment 1 December 2021 266
Autor:
Kelz, Rainer, Dorfer, Matthias, Korzeniowski, Filip, Böck, Sebastian, Arzt, Andreas, Widmer, Gerhard
In an attempt at exploring the limitations of simple approaches to the task of piano transcription (as usually defined in MIR), we conduct an in-depth analysis of neural network-based framewise transcription. We systematically compare different popul
Externí odkaz:
http://arxiv.org/abs/1612.05153
In this demo we show a novel approach to score following. Instead of relying on some symbolic representation, we are using a multi-modal convolutional neural network to match the incoming audio stream directly to sheet music images. This approach is
Externí odkaz:
http://arxiv.org/abs/1612.05076
In this paper, we present madmom, an open-source audio processing and music information retrieval (MIR) library written in Python. madmom features a concise, NumPy-compatible, object oriented design with simple calling conventions and sensible defaul
Externí odkaz:
http://arxiv.org/abs/1605.07008
Autor:
Böck, Sebastian
Publikováno v:
Zeitschrift für Germanistik, 2018 Jan 01. 28(2), 387-389.
Externí odkaz:
https://www.jstor.org/stable/26583314
Autor:
Immitzer, Markus, Böck, Sebastian, Einzmann, Kathrin, Vuolo, Francesco, Pinnel, Nicole, Wallner, Adelheid, Atzberger, Clement
Publikováno v:
In Remote Sensing of Environment January 2018 204:690-703