Improving Perceived Accuracy for In-Car Media Search

Yun-Cheng Ju, Michael Seltzer, and Ivan Tashev

Abstract

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%.

Details

Publication typeInproceedings
PublisherInternational Speech Communication Association
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