Information Mining from Speech Signal
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU80935" target="_blank" >RIV/00216305:26220/09:PU80935 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Information Mining from Speech Signal
Original language description
The high information redundancy of a speech signal is associated with such factors as the loudness of the speech, environmental condition, and emotional, physical as well as psychological state of the speaker. Many of these characteristics are also subjectively audible, but much of the phonetically irrelevant information is few distinguishable by untrained humans. However, some specific information hidden in speech signal can be detected using advanced signal processing methods. Successful speech signalprocessing and effective information mining require knowledge and expertise in a wide range of disciplines such as digital signal processing, physics (acoustics), pattern recognition, information theory, linguistics, computer science, physiology, etc.
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Recent Advances in Signal Processing
ISBN
978-953-307-002-5
Number of pages of the result
23
Pages from-to
—
Number of pages of the book
544
Publisher name
In-Tech Publishing
Place of publication
Wien
UT code for WoS chapter
—