ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning

Bergler C, Barnhill A, Perrin D, Schmitt M, Maier A, Nöth E (2022)

Publication Type: Conference contribution, Original article

Publication year: 2022

Publisher: International Speech Communication Association

Conference Proceedings Title: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022

Event location: Incheon, Korea

DOI: 10.21437/interspeech.2022-846

Authors with CRIS profile

Christian Bergler Lehrstuhl für Informatik 5 (Mustererkennung) Alexander Barnhill Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) 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., Barnhill, A., Perrin, D., Schmitt, M., Maier, A., & Nöth, E. (2022). ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022. Incheon, Korea: International Speech Communication Association.

MLA:

Bergler, Christian, et al. "ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning." Proceedings of the 23nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, Korea International Speech Communication Association, 2022.

BibTeX: Download