VAgyojaka: An Annotating and Post-Editing Tool for Automatic Speech Recognition

Conference of the International Speech Communication Association (INTERSPEECH)(2022)

引用 0|浏览18
暂无评分
摘要
Vagyojaka is an open-source post-editing and annotation tool for automatic speech recognition (ASR) that aims to reduce the human effort required to correct the ASR results. We adopt a dictionary-based lookup method to highlight the incorrect words in the ASR transcript and give suggestions by generating the closest valid words. For curating the speech corpus, we provide a rich list of tagset that captures various spoken audio features. Further, we conducted a user study to evaluate the effectiveness of our tool and observed that post-editing requires 1/3 lesser time than editing without using our tool. The user study can be found on our website(1).
更多
查看译文
关键词
Automatic speech recognition, post-editing of ASR transcript, speech corpus annotation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要