Faculty of Information Technology, BUT

Publication Details

Word-subword based keyword spotting with implications in OOV detection

ČERNOCKÝ Jan, SZŐKE Igor, HANNEMANN Mirko and KOMBRINK Stefan. Word-subword based keyword spotting with implications in OOV detection. Pacific Grove: Institute of Electrical and Electronics Engineers, 2010.
Czech title
Slovní a podslovní detekce klíčových slov a její implikace v detekci OOV
Type
presentation,e-document
Language
english
Authors
URL
Keywords
speech recognition, keyword spotting, spoken term detection, OOV
Abstract
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.
Annotation
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.
Published
2010
Pages
34
Conference
Asilomar Conference on Signals, Systems, and Computers, PACIFIC GROVE, CA, US
Publisher
Institute of Electrical and Electronics Engineers
Place
Pacific Grove, US
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