  While recent retrieval techniques do not limit the number of index terms,
out-of-vocabulary (OOV) words are crucial in speech recognition. Aiming at
retrieving information with spoken queries, we fill the gap between speech
recognition and text retrieval in terms of the vocabulary size. Given a spoken
query, we generate a transcription and detect OOV words through speech
recognition. We then correspond detected OOV words to terms indexed in a target
collection to complete the transcription, and search the collection for
documents relevant to the completed transcription. We show the effectiveness of
our method by way of experiments.

Computation and Language