Pseudo Real-Time Spoken Term Detection Using Pre-retrieval Results

Spoken term detection STD is one of key technologies for spoken document processing. This paper describes a method to realize pseudo real-time spoken term detection using pre-retrieval results. Pre-retrieval results for all combination of syllable bigrams are prepared beforehand. The retrieval time depends on the number of candidate sections of the pre-retrieval results. Therefore, the paper proposes the method to control the retrieval time by the number. A few top candidates are obtained in almost real-time by limiting the small number of candidate sections. While a user is confirming the candidate sections, the system can conduct the rest of retrieval by increasing the number of candidate sections gradually. The paper demonstrate the proposed method enables pseudo real-time spoken term detection by evaluation experiments using actual presentation speech corpus; Corpus of Spontaneous Japanese CSJ.