Surgical mask detection with deep recurrent phonetic models

Klumpp P, Arias Vergara T, Vasquez Correa J, Pérez Toro PA, Hönig FT, Nöth E, Orozco-Arroyave JR (2020)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Publisher: International Speech Communication Association

Pages Range: 2057-2061

DOI: 10.21437/Interspeech.2020-1723

Authors with CRIS profile

Philipp Klumpp Professur für Informatik (Mustererkennung) Tomás Arias Vergara Professur für Informatik (Mustererkennung) Juan Vasquez Correa Professur für Informatik (Mustererkennung) Paula Andrea Pérez Toro Professur für Informatik (Mustererkennung) Florian Thomas Hönig Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO)

How to cite

APA:

Klumpp, P., Arias Vergara, T., Vasquez Correa, J., Pérez Toro, P.A., Hönig, F.T., Nöth, E., & Orozco-Arroyave, J.-R. (2020). Surgical mask detection with deep recurrent phonetic models. In Proceedings of the 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 2057-2061). International Speech Communication Association.

MLA:

Klumpp, Philipp, et al. "Surgical mask detection with deep recurrent phonetic models." Proceedings of the 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 International Speech Communication Association, 2020. 2057-2061.

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