Spoken Content Retrieval by Using Acoustic and Linguistic Features Extracted from Spontaneously Spoken Queries

Hiroto TASAKI  Tomoyosi AKIBA  

D - Abstracts of IEICE TRANSACTIONS on Information and Systems (Japanese Edition)   Vol.J101-D   No.3   pp.597-606
Publication Date: 2018/03/01
Online ISSN: 1881-0225
Type of Manuscript: Special Section PAPER (Special Section on Student Research)
spoken content retrieval,  spontaneously spoken query,  acoustic features,  linguistic features,  

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A speech-driven information retrieval system is expected to be useful for gathering information with greater ease. In a conventional system, which takes quite a long time when their request is complicated. To overcome that problem, it is required for the retrieval system to handle a spontaneously spoken query directly. In this work, we propose an extension technique of spoken content retrieval for effectively using spontaneously spoken queries. We predict the contribution of terms included in spontaneously spoken queries using acoustic and linguistic features. We verified the effectiveness of the proposed method through experiments and succeeded in improving retrieval performance.