Lukasz Bronakowski

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An objective of the following paper is to examine feasibility of using vowel pronunciation variability as a descriptor of an emotional state of a speaker. Variability is assessed using Poincare Maps, constructed for pitch-synchronized speech segments that correspond to the vowel "a ". Recognition phase of the proposed approach involves an application of(More)
The following paper examines a possibility of applying phone-pronunciation variability descriptors in emotion classification. The proposed group of descriptors comprises a set of statistical parameters of Poincare maps, which are derived for evolution of formant-frequencies and energy of voiced-speech segments. Poincare maps are represented by means of four(More)
The following paper introduces a group of novel speech-signal descriptors that reflect phoneme-pronunciation variability and that can be considered as potentially useful features for emotion sensing. The proposed group includes a set of statistical parameters of Poincare maps, derived for formant-frequency evolution and energy evolution of voiced-speech(More)
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