A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition.

Fatemeh Noroozi; Marina Marjanovic; Angelina Njegus; Sergio Escalera; Gholamreza Anbarjafari

A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition.

Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus, Sergio Escalera, Gholamreza Anbarjafari

Research output: Other contribution › Research

Original language	Undefined/Unknown
Publication date	2018
Volume	abs/1811.08935
Publication status	Published - 2018
Externally published	Yes

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DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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Cite this

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title = "A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition.",

author = "Fatemeh Noroozi and Marina Marjanovic and Angelina Njegus and Sergio Escalera and Gholamreza Anbarjafari",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2018",

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volume = "abs/1811.08935",

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T1 - A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition.

AU - Noroozi, Fatemeh

AU - Marjanovic, Marina

AU - Njegus, Angelina

AU - Escalera, Sergio

AU - Anbarjafari, Gholamreza

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2018

Y1 - 2018

M3 - Andet bidrag

VL - abs/1811.08935

ER -