Wav2vec behind the Scenes: How end2end Models learn Phonetics

tom Dieck T, Pérez Toro PA, Arias Vergara T, Nöth E, Klumpp P (2022)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Publisher: International Speech Communication Association

Pages Range: 5130-5134

DOI: 10.21437/Interspeech.2022-10865

Authors with CRIS profile

Teena tom Dieck Lehrstuhl für Informatik 5 (Mustererkennung) Paula Andrea Pérez Toro Technische Fakultät Tomás Arias Vergara Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung) Philipp Klumpp Professur für Informatik (Mustererkennung)

How to cite

APA:

tom Dieck, T., Pérez Toro, P.A., Arias Vergara, T., Nöth, E., & Klumpp, P. (2022). Wav2vec behind the Scenes: How end2end Models learn Phonetics. In Proceedings of the 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (pp. 5130-5134). International Speech Communication Association.

MLA:

tom Dieck, Teena, et al. "Wav2vec behind the Scenes: How end2end Models learn Phonetics." Proceedings of the 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 International Speech Communication Association, 2022. 5130-5134.

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