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Feature optimisation for stress recognition in speech
(Elsevier Science, 2016-07)
Mel-frequency cepstral coefficients introduced biologically-inspired features into speech technology, becoming the most commonly used representation for speech, speaker and emotion recognition, and even for applications ...
Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech
The automatic analysis of speech to detect affective states may improve the way users interact with electronic devices. However, the analysis only at the acoustic level could be not enough to determine the emotion of a ...
Cross-cultural And Cross-linguistic Perception Of Authentic Emotions Through Speech: An Acoustic-phonetic Study With Brazilian And Swedish ListenersPercepção Intercultural E Interlinguística De Emoções Autênticas Na Fala: Estudo Fonético-acústico Com Sujeitos Brasileiros E Suecos
(Pontifícia Universidade Católica de São Paulo - PUC-SP, 2016)
Spoken emotion recognition through optimum-path forest classification using glottal features
(Academic Press Ltd- Elsevier Science LtdLondonInglaterra, 2010)
Body signals: "body speech acts", torn sensibilities and interstitial practices
(Centro de Investigaciones y Estudios sobre Cultura y Sociedad, 2017-11)
This issue of RELACES can be understood as the visibilization of two problematic fields, one related to the experiences/pains and the other related to the voices/expressions. In the first group, it is evident how the ...
Shape-based modeling of the fundamental frequency contour for emotion detection in speech
(Elsevier, 2014)
This paper proposes the use of neutral reference models to detect local emotional prominence in the fundamental frequency. A
novel approach based on functional data analysis (FDA) is presented, which aims to capture the ...