Evaluation of aspiration problems in L2 English pronunciation employing machine learning

Author:

Piotrowska Magdalena1,Czyżewski Andrzej2,Ciszewski Tomasz3,Korvel Gražina4,Kurowski Adam2,Kostek Bożena5

Affiliation:

1. AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, Al. Mickiewicza 30, 30-059 Krakow, Poland

2. Department of Multimedia Systems, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

3. Institute of English and American Studies, Faculty of Languages, University of Gdańsk, Gdańsk, Poland

4. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

5. Audio Acoustics Laboratory, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

Funder

Narodowe Centrum Nauki

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

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