Heuristic and statistical methods for speech/non-speech detector design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F02%3A00071517" target="_blank" >RIV/49777513:23520/02:00071517 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Heuristic and statistical methods for speech/non-speech detector design
Original language description
The speech/non-speech (S/NS) detection is very important for automatic speech recognition (ASR), especially in the case of isolated words or commands recognition This paper proposes a novel approach that finds robust features for better endpoint detection in a noisy environment In the proposed method, we make use of advantages of the both approaches (i.e. to try to find the best set of heuristic features and apply a statistical induction method)
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA102%2F02%2F0124" target="_blank" >GA102/02/0124: Voice technologies for support of information society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Heuristic and statistical methods for speech/non-speech detector design
ISBN
—
ISSN
—
e-ISSN
—
Number of pages
1
Pages from-to
—
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Neuveden
Event date
Jan 1, 2002
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—