Phonetic spoken term search using topic information

Kalantari, Shahram, Dean, David B., & Sridharan, Sridha (2014) Phonetic spoken term search using topic information. In Proceedings of the 15th Australasian International Conference on Speech Science and Technology (SST 2014), New Zealand Institute of Language, Brain and Behaviour (NZILBB), Christchurch, New Zealand, pp. 163-166.


The aim of spoken term detection (STD) is to find all occurrences of a specified query term in a large audio database. This process is usually divided into two steps: indexing and search. In a previous study, it was shown that knowing the topic of an audio document would help to improve the accuracy of indexing step which results in a better performance for STD system. In this paper, we propose the use of topic information not only in the indexing step, but also in the search step. Results of our experiments show that topic information could also be used in search step to improve the STD accuracy.

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ID Code: 75761
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Spoken term detection, Indexing, Search
ISSN: 1039-0227
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 The Author(s)
Deposited On: 28 Aug 2014 23:25
Last Modified: 08 May 2015 04:05

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