Presentation,e-document

 
Černocký, J., Szőke, I., Hannemann, M., Kombrink, S.: Word-subword based keyword spotting with implications in OOV detection, Pacific Grove, US, IEEE, 2010, p. 34
Publication language:english
Original title:Word-subword based keyword spotting with implications in OOV detection
Title (cs):Slovní a podslovní detekce klíčových slov a její implikace v detekci OOV
Pages:34
Conference:Asilomar Conference on Signals, Systems, and Computers
Place:Pacific Grove, US
Year:2010
Publisher:Institute of Electrical and Electronics Engineers
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/asilomar_kwd_oov.ppt [PPT]
Keywords
speech recognition, keyword spotting, spoken term detection, OOV
Annotation
The talk is on our work in designing hybrid word-subword keyword spotting systems, that maintain the accuracy of LVCSR, while allowing for detecting OOVs as sequences of sub-word units.
Abstract
Main-stream systems for keyword spotting and spoken term detection are based on the series of Large Vocabulary Continuous Speech Recognizer with subsequent search in its output. These systems are limited by the vocabulary of the recognizer and are not able to detect Out of Vocabulary (OOV) words. This talk will present our work in designing hybrid word-subword keyword spotting systems, that maintain the accuracy of LVCSR, while allowing for detecting OOVs as sequences of sub-word units. We will also show the links of this work to the detection, description and clustering of OOVs, as investigated in the framework of the EC-sponsored project DIRAC.