%0 Generic
%A Li, Mingming
%D 2023
%T Data underlying the research between ASR and MT quality of  Automatic Subtitling Platforms 
%U 
%R 10.4121/7cfa296a-72b7-4460-acd4-86193b43701e.v1
%K ASR
%K Automatic subtitling translation
%K transcribe
%K linguistics
%K synthesis technologies
%X <p>In the first experiment of ASR accuracy comparison, 1 set of speech-to-text data (hereafter Veed<sub> 0</sub> and Iflyrec<sub> 0</sub> ) is generated after submitting the “Qantas Safety video” on “Iflyrec” and “Veed”. The reference speech-to-text data is transcribed from Qantas’ official channel on YouTube.</p><p>In the second experiment of automatic subtitling translation comparison, 3 sets of data are collected and analyzed. The author uses the original speech-to-text data of “Iflyrec” and “Veed” to generate one set of automatic subtitling translations (hereafter Veed<sub> 1</sub> and Iflyrec<sub> 1</sub>), and then inputs the speech-to-text data on these two platforms to generate the final automatic subtitling translation version (hereafter Veed<sub> 2</sub> and Iflyrec<sub> 2</sub>). For the human translation reference, this paper uses the translation from a tutor affiliated with the Civil Aviation University of China.&nbsp;</p>
%I 4TU.ResearchData