A method for open-vocabulary speech-driven text retrieval
Atsushi Fujii, Katunobu Itou, Tetsuya Ishikawa · 2002
While recent retrieval techniques do not limit the number of index terms, out-ofvocabulary (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.