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http://dx.doi.org/10.7776/ASK.2009.28.7.674

Retrieval of Player Event in Golf Videos Using Spoken Content Analysis  

Kim, Hyoung-Gook (광운대학교)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.7, 2009 , pp. 674-679 More about this Journal
Abstract
This paper proposes a method of player event retrieval using combination of two functions: detection of player name in speech information and detection of sound event from audio information in golf videos. The system consists of indexing module and retrieval module. At the indexing time audio segmentation and noise reduction are applied to audio stream demultiplexed from the golf videos. The noise-reduced speech is then fed into speech recognizer, which outputs spoken descriptors. The player name and sound event are indexed by the spoken descriptors. At search time, text query is converted into phoneme sequences. The lists of each query term are retrieved through a description matcher to identify full and partial phrase hits. For the retrieval of the player name, this paper compares the results of word-based, phoneme-based, and hybrid approach.
Keywords
Phoneme-based retrieval; Word-based retrieval; Hybrid retrieval; Speech recognition; Player event retrieval; Player name retrieval; Spoken content analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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