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pro vyhledávání: '"Hernandez, Abner"'
Autor:
Hernandez, Abner, Pérez-Toro, Paula Andrea, Vásquez-Correa, Juan Camilo, Orozco-Arroyave, Juan Rafael, Maier, Andreas, Yang, Seung Hee
Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models. However, the issue of privacy protection is an increasing concern that must be addressed. The current study investigate
Externí odkaz:
http://arxiv.org/abs/2204.01677
Autor:
Hernandez, Abner, Pérez-Toro, Paula Andrea, Nöth, Elmar, Orozco-Arroyave, Juan Rafael, Maier, Andreas, Yang, Seung Hee
State-of-the-art automatic speech recognition (ASR) systems perform well on healthy speech. However, the performance on impaired speech still remains an issue. The current study explores the usefulness of using Wav2Vec self-supervised speech represen
Externí odkaz:
http://arxiv.org/abs/2204.01670
With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming. Therefore, automatic slide extraction from the lecture videos can be helpful to give a brief overview of the main
Externí odkaz:
http://arxiv.org/abs/2202.03540
Akademický článek
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