@InProceedings{Draxler2023_1168,
<br/>   author = {Christoph Draxler},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2023},
<br/>   title = {Analysis of Transcriptions Using Octra – A Pilot Study},
<br/>   year = {2023},
<br/>   editor = {Christoph Draxler},
<br/>   month = mar,
<br/>   pages = {17--23},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {Octra is a web-based editor for orthographic transcription of spoken language
recordings. For this pilot study, 44 political speeches from Italy and Germany
were partly pre-processed by automatic speech recognition and then corrected manually,
and partly transcribed from scratch using Octra. We report the word error rate,
and we propose time-based and timeless transcription factors to capture the effort to
perform the orthographic transcription, and we present a visualization to gain insight
into how transcribers actually perform the task.},
<br/>   isbn = {978-3-95908-303-4},
<br/>   issn = {0940-6832},
<br/>   keywords = {Visualisation},
<br/>   url = {https://www.essv.de/pdf/2023_17_23.pdf},
<br/>}