Photo of Daniel Michelsanti
  • Fredrik Bajers Vej 7, B4-213

    9220 Aalborg Ø

    Denmark

20172019
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
Feature extraction Engineering & Materials Science
Engines Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Classifiers Engineering & Materials Science
Neural networks Engineering & Materials Science
Image processing Engineering & Materials Science
Deep neural networks Engineering & Materials Science
Industry Engineering & Materials Science

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Research Output 2017 2019

  • 5 Article in proceeding

Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems

Michelsanti, D., Tan, Z-H., Sigurdsson, S. & Jensen, J., 17 Apr 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 6615-6619 5 p. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access

On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement

Michelsanti, D., Tan, Z-H., Sigurdsson, S. & Jensen, J., 17 Apr 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 8077-8081 5 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
26 Citations (Scopus)

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Michelsanti, D. & Tan, Z-H., 2017, Proc. Interspeech 2017. ISCA, p. 2008-2012 5 p. (INTERSPEECH ).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
3 Citations (Scopus)
1550 Downloads (Pure)

Fast Fingerprint Classification with Deep Neural Networks

Michelsanti, D., Ene, A-D., Guichi, Y., Stef, R., Nasrollahi, K. & Moeslund, T. B., 2017, VISiGRAPP 2017: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Imai, F., Tremeau, A. & Braz, J. (eds.). SCITEPRESS Digital Library, Vol. 5. p. 202-209

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
Feature extraction
Identification (control systems)
Classifiers
Neural networks
Deep neural networks

Pyramid Algorithm Framework for Real-Time Image Effects

Sangüesa, A. A., Ene, A-D., Jørgensen, N. K., Larsen, C. A., Michelsanti, D. & Kraus, M., 2017, Interactivity, Game Creation, Design, Learning, and Innovation: 5th International Conference, ArtsIT 2016, and First International Conference, DLI 2016, Esbjerg, Denmark, May 2–3, 2016, Proceedings. Brooks, A. L. & Brooks, E. (eds.). Springer, p. 289-296 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 196).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Engines
Image processing
Industry
Graphics processing unit

Activities 2018 2018