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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Solera-Ureña, R., Moniz, H., Batista, F., Astudillo, R. F., Campos, J., Paiva, A....Trancoso, I. (2016). Acoustic-prosodic automatic personality trait assessment for adults and children. In Alberto Abad, Alfonso Ortega and Antonio Teixeira and Carmen Mateo and Carlos Hinarejos and Fernando Perdigão and Fernando Batista and Nuno Mamede (Ed.), Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science. (pp. 192-201).: Springer.
Exportar Referência (IEEE)
R. Solera-Ureña et al.,  "Acoustic-prosodic automatic personality trait assessment for adults and children", in Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science, Alberto Abad, Alfonso Ortega and Antonio Teixeira and Carmen Mateo and Carlos Hinarejos and Fernando Perdigão and Fernando Batista and Nuno Mamede, Ed., Springer, 2016, vol. 10077, pp. 192-201
Exportar BibTeX
@inproceedings{solera-ureña2016_1714124149715,
	author = "Solera-Ureña, R. and Moniz, H. and Batista, F. and Astudillo, R. F. and Campos, J. and Paiva, A. and Trancoso, I.",
	title = "Acoustic-prosodic automatic personality trait assessment for adults and children",
	booktitle = "Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science",
	year = "2016",
	editor = "Alberto Abad, Alfonso Ortega and Antonio Teixeira and Carmen Mateo and Carlos Hinarejos and Fernando Perdigão and Fernando Batista and Nuno Mamede",
	volume = "10077",
	number = "",
	series = "",
	doi = "10.1007/978-3-319-49169-1_19",
	pages = "192-201",
	publisher = "Springer",
	address = "",
	organization = "",
	url = "https://link.springer.com/chapter/10.1007%2F978-3-319-49169-1_19"
}
Exportar RIS
TY  - CPAPER
TI  - Acoustic-prosodic automatic personality trait assessment for adults and children
T2  - Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science
VL  - 10077
AU  - Solera-Ureña, R.
AU  - Moniz, H.
AU  - Batista, F.
AU  - Astudillo, R. F.
AU  - Campos, J.
AU  - Paiva, A.
AU  - Trancoso, I.
PY  - 2016
SP  - 192-201
SN  - 0302-9743
DO  - 10.1007/978-3-319-49169-1_19
UR  - https://link.springer.com/chapter/10.1007%2F978-3-319-49169-1_19
AB  - This paper investigates the use of heterogeneous speech corpora for automatic assessment of personality traits in terms of the Big-Five OCEAN dimensions. The motivation for this work is twofold: the need to develop methods to overcome the lack of children’s speech corpora, particularly severe when targeting personality traits, and the interest on cross-age comparisons of acoustic-prosodic features to build robust paralinguistic detectors. For this purpose, we devise an experimental setup with age mismatch utilizing the Interspeech 2012 Personality Sub-challenge, containing adult speech, as training data. As test data, we use a corpus of children’s European Portuguese speech. We investigate various features sets such as the Sub-challenge baseline features, the recently introduced eGeMAPS features and our own knowledge-based features. The preliminary results bring insights into cross-age and -language detection of personality traits in spontaneous speech, pointing out to a stable set of acoustic-prosodic features for Extraversion and Agreeableness in both adult and child speech.
ER  -