Phonetic spoken term search using topic information
Data(s) |
2014
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
New Zealand Institute of Language, Brain and Behaviour (NZILBB) |
Relação |
http://eprints.qut.edu.au/75761/1/sst2014.pdf 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. |
Direitos |
Copyright 2014 The Author(s) |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #Spoken term detection #Indexing #Search |
Tipo |
Conference Paper |