Simple gesture-based error correction interface for smartphone speech recognition
Liang Yuan, Koji Iwano, Koichi Shinoda · 2014
Conventional error correction interfaces for speech recog- nition require a user to first mark an error region and choose the correct word from a candidate list. Taking the user’s effort and the limited user interface available in a smartphone use into account, this operation should be simpler. In this paper, we pro- pose an interface where users mark the error region once, and then the word will be replaced by another candidate. Assuming that the words preceding/succeeding the error region are vali- dated by the user, we search the Web n-grams for long word sequences matched to such a context. The acoustic features of the error region are also utilized to rerank the candidate words. The experimental result proved the effectiveness of our method. 30.2% of the error words were corrected by a single operation.