Common Phone: A Multilingual Dataset for Robust Acoustic Modelling

Klumpp P, Arias-Vergara T, Perez-Toro PA, Nöth E, Orozco-Arroyave JR (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA

City/Town: PARIS

Pages Range: 763-768

Conference Proceedings Title: LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Event location: Marseille, FRANCE

DOI: 10.5281/zenodo.5846137

Authors with CRIS profile

Philipp Klumpp Lehrstuhl für Informatik 5 (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung)

How to cite

APA:

Klumpp, P., Arias-Vergara, T., Perez-Toro, P.-A., Nöth, E., & Orozco-Arroyave, J.R. (2022). Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. In LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (pp. 763-768). Marseille, FRANCE: PARIS: EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA.

MLA:

Klumpp, Philipp, et al. "Common Phone: A Multilingual Dataset for Robust Acoustic Modelling." Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC), Marseille, FRANCE PARIS: EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA, 2022. 763-768.

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