Result Details

Combination of Word and Phoneme Approach for Spoken Term Detection

SZŐKE, I.; BURGET, L.; KARAFIÁT, M. Combination of Word and Phoneme Approach for Spoken Term Detection. Brno: 2007. p. 1 (1 s.).
Type
presentation, poster
Language
English
Authors
Szőke Igor, Ing., Ph.D., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Karafiát Martin, Ing., Ph.D., DCGM (FIT)
Abstract

The poster deals with Combination of Word and Phoneme Approach for Spoken Term Detection

Keywords

spoekn term detection

URL
Annotation

The goal is to provide a technique for search for an out-of-vocabulary (OOV) term or keyword in a speech. The spoken term detection is based on lattices generated from word and phoneme recognizers. The term is a sequence of words (quoted query). The results are evaluated on the Broadcast news subset of NIST STD 2006 development set. Our goal is to propose an upper-bound word/phoneme combination technique for Spoken Term Detection (STD). We want to estimate the upper bound results for OOV terms, which can be achieved using rescoring by strong (and slow) LVCSR system. Then we can decide how much worse is an simple (and fast) sub-word method. We also evaluated different approaches for term confidence estimation and two differen approaches for phoneme lattice generation.

Published
2007
Pages
1–1
Conference
Machine Learning and Multimodal Interaction
Place
Brno
BibTeX 
@misc{BUT63691,
  author="Igor {Szőke} and Lukáš {Burget} and Martin {Karafiát}",
  title="Combination of Word and Phoneme Approach for Spoken Term Detection",
  year="2007",
  pages="1--1",
  address="Brno",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2007/szoke_kws_ins_mlmi_poster_2007.pdf"
}
Projects
Interactive Keyword Detector, GACR, Postdoktorandské granty, GP102/06/P383, start: 2006-01-01, end: 2008-12-31, completed
New trends in research and application of voice technology, GACR, Standardní projekty, GA102/05/0278, start: 2005-01-01, end: 2007-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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