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pro vyhledávání: '"K��rzinger, Ludwig"'
In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for languages other than English have not yet been established. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71c5e075d59f30395331c7097613e743
http://arxiv.org/abs/2112.09323
http://arxiv.org/abs/2112.09323
Autor:
Andronic, Iustina, K��rzinger, Ludwig, Rosas, Edgar Ricardo Chavez, Rigoll, Gerhard, Seeber, Bernhard U.
Audio Adversarial Examples (AAE) represent specially created inputs meant to trick Automatic Speech Recognition (ASR) systems into misclassification. The present work proposes MP3 compression as a means to decrease the impact of Adversarial Noise (AN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f9e9fb93d64b949e420eb269663c2f8
http://arxiv.org/abs/2007.12892
http://arxiv.org/abs/2007.12892
Recent advances in Automatic Speech Recognition (ASR) demonstrated how end-to-end systems are able to achieve state-of-the-art performance. There is a trend towards deeper neural networks, however those ASR models are also more complex and prone agai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cdefe006f13d5a5c7fb0b5b9a3e3fc2
http://arxiv.org/abs/2007.10723
http://arxiv.org/abs/2007.10723