Important Nonverbal Attributes for Spontaneous Speech Recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00502151" target="_blank" >RIV/49777513:23520/09:00502151 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Important Nonverbal Attributes for Spontaneous Speech Recognition

Original language description

Understanding human emotions and their nonverbal messages is one of the most necessary and important abilities for making the next generation of human-computer interfaces (HCI) easier, more natural and effective. The main goal of this paper is to comparedifferent methods to combine the results of both classifiers ? both paralanguage and facial expressions.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

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

Article name in the collection

ICONS 2009

ISBN

978-1-4244-3469-5

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

IEEE

Place of publication

New York

Event location

Gosier, Francie

Event date

Mar 6, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000272224900003