Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Hendrik Purwins"'
Publikováno v:
Læring og Medier, Vol 9, Iss 15 (2016)
One of the recent developments in teaching that heavily relies on current technology is the “flipped classroom” approach. In a flipped classroom the traditional lecture and homework sessions are inverted. Students are provided with online materia
Externí odkaz:
https://doaj.org/article/18ac361cf32f463a83826a18b633c7a6
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 13:203-205
The papers in this special section focus on audio signal processing which is currently undergoing a paradigm change, where data-driven machine learning is replacing hand-crafted feature design. These papers aim to promote progress, systematization, u
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing
Purwins, H, Li, B, Virtanen, T, Schlüter, J, Chang, S-Y & Sainath, T 2019, ' Deep Learning for Audio Signal Processing ', IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 2, 8678825, pp. 206-219 . https://doi.org/10.1109/JSTSP.2019.2908700
Purwins, H, Li, B, Virtanen, T, Schlüter, J, Chang, S-Y & Sainath, T 2019, ' Deep Learning for Audio Signal Processing ', IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 2, 8678825, pp. 206-219 . https://doi.org/10.1109/JSTSP.2019.2908700
Given the recent surge in developments of deep learning, this article provides a review of the state-of-the-art deep learning techniques for audio signal processing. Speech, music, and environmental sound processing are considered side-by-side, in or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c649023bc65f6b74ae423d8830cd44e6
http://arxiv.org/abs/1905.00078
http://arxiv.org/abs/1905.00078
Publikováno v:
Brejl, R, Purwins, H & Schoenau-Fog, H 2018, ' Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment ', EAI Endrosed Trasactions on Creative Technologies, vol. 18, no. 14, e3 . https://doi.org/10.4108/eai.16-1-2018.153641
EAI Endorsed Transactions on Creative Technologies, Vol 5, Iss 14, Pp 1-5 (2018)
EAI Endorsed Transactions on Creative Technologies, Vol 5, Iss 14, Pp 1-5 (2018)
Learning to navigate in 3D environments from raw sensory input is an important step towards bridging the gap between human players and artificial intelligence in digital games. Recent advances in deep reinforcement learning have seen success in teach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c84a8e068e7de581165bbfb1499343b
https://vbn.aau.dk/da/publications/b4f013ca-a944-46ac-b0ab-881eeb91038d
https://vbn.aau.dk/da/publications/b4f013ca-a944-46ac-b0ab-881eeb91038d
Publikováno v:
Læring og Medier, Vol 9, Iss 15 (2016)
One of the recent developments in teaching that heavily relies on current technology is the “flipped classroom” approach. In a flipped classroom the traditional lecture and homework sessions are inverted. Students are provided with online materia
Autor:
Hendrik Purwins, Ricard Marxer
Guided by the idea that musical human-computer interaction may become more effective, intuitive, and creative when basing its computer part on cognitively more plausible learning principles, we employ unsupervised incremental online learning (i.e. cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82b8a13606f7e07679b22af1c420f004
https://eprints.whiterose.ac.uk/100592/1/1502.00524v2.pdf
https://eprints.whiterose.ac.uk/100592/1/1502.00524v2.pdf
Autor:
Irene Sturm, Daniel Miklody, Matthias S. Treder, Hendrik Purwins, Gabriel Curio, Sven Dähne, Benjamin Blankertz
Publikováno v:
Sturm, I, Treder, M S, Miklody, D, Purwins, H, Dähne, S, Blankertz, B & Curio, G 2015, ' Extracting the Neural Representation of Tone Onsets for Separate Voices of Ensemble Music Using Multivariate EEG Analysis ', Psychomusicology: Music, Mind, & Brain, vol. 25, no. 4, pp. 366-379 . https://doi.org/10.1037/pmu0000104
Natural "soundscapes" of everyday life, for example, communication in a crowded get-together or noisy environment, challenge our proficiency in organizing sounds into perceptually meaningful sequences. All the more, music might spark our processing c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44ab89200d966f204eb4aaa2987a3356
https://vbn.aau.dk/da/publications/f6a5abde-8d83-40c9-a158-88a166ac6782
https://vbn.aau.dk/da/publications/f6a5abde-8d83-40c9-a158-88a166ac6782
Autor:
Hendrik Purwins, S. Scholler
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 5:933-940
Up to now, there has only been little work on using features from temporal approximations of signals for audio recognition. Time-frequency tradeoffs are an important issue in signal processing; sparse representations using overcomplete dictionaries m
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
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A causal system to represent a stream of music into musical events, and to generate further expected events, is presented. Starting from an auditory front-end that extracts low-level (i.e. MFCC) and mid-level features such as onsets and beats, an uns
Autor:
Hendrik Purwins, David R. Hardoon
Publikováno v:
Connection Science. 21:85-88
The emergence of this special issue has been supported by EPSRCproject Le Strum (EP-D063612-1), the European projects CLOSED (FP6-NEST-PATH, contract 29085), and EmCAP (FP6-IST, contract 013123). One editor (H.P.) received a Juan de la Cierva scholar