Improving the Readability of Class Lecture Automatic Speech Recognition Results using Multiple Hypotheses
Y. Fujii, Katsuhiko Yamamoto, Seiichi Nakagawa · 2010
This paper presents a method for improving the readability of class lecture Automatic Speech Recognition (ASR)results, which hitherto have been difficult for humans tounderstand, even in the absence of recognition errors.