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Autor:
Zhang, Kevin, Chkhetiani, Luka, Ramirez, Francis McCann, Khare, Yash, Vanzo, Andrea, Liang, Michael, Martin, Sergio Ramirez, Oexle, Gabriel, Bousbib, Ruben, Peyash, Taufiquzzaman, Nguyen, Michael, Pulliam, Dillon, Donato, Domenic
This paper presents Conformer-1, an end-to-end Automatic Speech Recognition (ASR) model trained on an extensive dataset of 570k hours of speech audio data, 91% of which was acquired from publicly available sources. To achieve this, we perform Noisy S
Externí odkaz:
http://arxiv.org/abs/2404.07341
