Comparison of keyword spotting methods for searching in speech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F06%3A00500113" target="_blank" >RIV/49777513:23520/06:00500113 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of keyword spotting methods for searching in speech
Original language description
This paper presents and discusses keyword spotting methods for searching in speech. In contrast with searching in text, the searching in speech or generally in multimedia data still represents a challenge. The aim of the paper is to present a keyword spotting (KWS) method based on a large vocabulary continuous speech recognition (LVCSR) system, based on phonetics decoder, and keyword spotting using a filler model. All the methods are evaluated and compared from various points of view ? speed, quality, requirements on training data and so on. All experiments are done using a telephone-quality speech corpus. Furthermore, this paper presents a new block decision in filler model-based keyword spotting which brings the speedup of decision together with better detection. Index Terms: keyword spotting, searching in speech, speech recognition, LVCSR, filler model, acoustic baseform.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1QS101470516" target="_blank" >1QS101470516: Automatic keyword spotting in audio data streams</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interspeech 2006 and 9th International Conference on Spoken Language Processing
ISBN
978-1-60423-449-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Curran Associates
Place of publication
New York
Event location
Pittsburgh
Event date
Sep 21, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000269965901211