Improving spontaneous children's emotion recognition by acoustic feature selection and feature-level fusion of acoustic and linguistic parameters

Santiago Planet, Ignasi Iriondo

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

This paper presents an approach to improve emotion recognition from spontaneous speech. We used a wrapper method to reduce an acoustic set of features and feature-level fusion to merge them with a set of linguistic ones. The proposed system was evaluated with the FAU Aibo Corpus. We considered the same emotion set that was proposed in the Interspeech 2009 Emotion Challenge. The main contribution of this work is the improvement, with the reduced set of features, of the results obtained in this Challenge and the combination of the best ones. We built this set with a selection of 28 acoustic and 5 linguistic features and concatenation of the feature vectors from an original set of 389 parameters.

Idioma originalInglés
Título de la publicación alojadaAdvances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings
Páginas88-95
Número de páginas8
DOI
EstadoPublicada - 2011
Evento5th International Conference on Nonlinear Speech Processing, NOLISP 2011 - Las Palmas de Gran Canaria, Espana
Duración: 7 nov 20119 nov 2011

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen7015 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia5th International Conference on Nonlinear Speech Processing, NOLISP 2011
País/TerritorioEspana
CiudadLas Palmas de Gran Canaria
Período7/11/119/11/11

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