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Software systems and computational methods
Reference:
Sidorov K.V., Filatova N.N.
Automatic recognition of human emotions
based on the reconstruction of the speech
samples attractors
// Software systems and computational methods.
2012. ¹ 1.
P. 60-66.
URL: https://en.nbpublish.com/library_read_article.php?id=61557
Sidorov K.V., Filatova N.N. Automatic recognition of human emotions
based on the reconstruction of the speech
samples attractors
Abstract:
The article reviews the methods of automatic
pattern recognition of the speech signals
recorded at the moments when announ cers
proved positive emotions from speech samples
on the same subjects recorded in a testees neutral
state. This article investigates the abilities
of nonlinear dynamics methods for evaluation of
informative indicators of emotional state. Studies
were performed on the basis of analyzing the
reconstruction of attractors of the speech signal.
The authors analyzed different ways of selecting
optimal parameter values for the reconstruction
of the attractor (the time delay between the elements
of the time series and embedding dimension).
Authors proposed the new quan titative criteria
for classifying samples of the speech signal
of a person experiencing emo tions based on the
estimates of the maximum vector reconstruction
of the attractor in four quadrants. The research
was based on frag ments of the Russian-language database (Tver). A model of emotional body language,
which consists of a database of two levels
(phrases and phonemes) was formed and served
as a basis for evaluation of the efÞ cie n cy of the
developed software module of the automatic recognition
of human emotions.
Keywords:
Software, speech, speech signal, emotional state, time series, emotion, emotion recognition, nonlinear dynamics, attractor reconstruction, classification
This article can be downloaded freely in PDF format for reading. Download article
This article written in Russian. You can find original text of the article here
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