Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Improving Perceived Accuracy for In-Car Media Search

Yun-Cheng Ju, Michael Seltzer, and Ivan Tashev


Speech recognition technology is prone to mistakes, but this is not the only source of errors that cause speech recognition systems to fail; sometimes the user simply does not utter the command correctly. Usually, user mistakes are not considered when a system is designed and evaluated. This creates a gap between the claimed accuracy of the system and the actual accuracy perceived by the users. We address this issue quantitatively in our in-car infotainment media search task and propose expanding the capability of voice command to accommodate user mistakes while retaining a high percentage of the performance for queries with correct syntax. As a result, failures caused by user mistakes were reduced by an absolute 70% at the cost of a drop in accuracy of only 0.28%.


Publication typeInproceedings
PublisherInternational Speech Communication Association
> Publications > Improving Perceived Accuracy for In-Car Media Search