ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication

Bergler C, Schmitt M, Maier A, Smeele S, Barth V, Nöth E (2020)

Publication Type: Conference contribution, Original article

Publication year: 2020

Publisher: International Speech Communication Association

Pages Range: 1136-1140

Conference Proceedings Title: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020

Event location: Shanghai, China

DOI: 10.21437/Interspeech.2020-1316

Authors with CRIS profile

Christian Bergler Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Volker Barth Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Elmar Nöth Professur für Informatik (Mustererkennung)

Related research project(s)

Deep Learning Applied to Animal Linguistics (DeepAL) April 1, 2018 - April 1, 2022

How to cite

APA:

Bergler, C., Schmitt, M., Maier, A., Smeele, S., Barth, V., & Nöth, E. (2020). ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 1136-1140). Shanghai, China: International Speech Communication Association.

MLA:

Bergler, Christian, et al. "ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication." Proceedings of the 21th Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing, INTERSPEECH 2020, Shanghai, China International Speech Communication Association, 2020. 1136-1140.

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