NDLI: Spoken term detection based on the most probable phoneme sequence

Content Provider	IEEE Xplore Digital Library
Author	Gosztolya, G. Toth, L.
Copyright Year	2011
Description	Author affiliation: University of Szeged, Hungary, Department of Informatics (Gosztolya, G.) \|\| Research Group on Artificial Intelligence of the Hungarian Academy of Sciences, Szeged, Hungary (Toth, L.)
Abstract	The aim of the spoken term detection task is to find the occurrence of user-entered keywords in an archive of audio recordings. In this area, besides the accuracy of hits returned, the speed of search is also very important, for which an intermediate representation of recordings is normally used. In this paper we evaluate a spoken term detection method which represents the speech signals by their most probable phoneme sequence, on which a dynamic search is then performed. As the accuracy of the phoneme recognizer used is vital, we shall test this method by using several approaches of phoneme identification. We found that our method already achieves satisfactory accuracy, although its run time is still rather high. We also found that this approach is heavily dependent on the performance of the phoneme recognizer.
Starting Page	101
Ending Page	106
File Size	157999
Page Count	6
File Format	PDF
ISBN	9781424474295
e-ISBN	9781424474301
DOI	10.1109/SAMI.2011.5738856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-27
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Accuracy Hidden Markov models Speech recognition Artificial neural networks Speech Acoustics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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