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pro vyhledávání: '"Jetté, Migüel"'
Autor:
Heuser, Annika, Kendall, Tyler, del Rio, Miguel, McNamara, Quinten, Bhandari, Nishchal, Miller, Corey, Jetté, Migüel
Common measures of accuracy used to assess the performance of automatic speech recognition (ASR) systems, as well as human transcribers, conflate multiple sources of error. Stylistic differences, such as verbatim vs non-verbatim, can play a significa
Externí odkaz:
http://arxiv.org/abs/2409.03059
Autor:
Fox, Jennifer Drexler, Raj, Desh, Delworth, Natalie, McNamara, Quinn, Miller, Corey, Jetté, Migüel
The vast majority of ASR research uses corpora in which both the training and test data have been pre-segmented into utterances. In most real-word ASR use-cases, however, test audio is not segmented, leading to a mismatch between inference-time condi
Externí odkaz:
http://arxiv.org/abs/2309.15013
Publikováno v:
Journal of AI, Robotics & Workplace Automation; Autumn/Fall2022, Vol. 2 Issue 1, p24-36, 13p