Information Mining from Speech Signal

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Information Mining from Speech Signal

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Information Mining from Speech Signal

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Recent Advances in Signal Processing

ISBN

978-953-307-002-5

Počet stran výsledku

23

Strana od-do

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Počet stran knihy

544

Název nakladatele

In-Tech Publishing

Místo vydání

Wien

Kód UT WoS kapitoly

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