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The second step of the emotion recognition process is feature normalization, with which the features extracted in the previous phase are normalized around the user neutral speaking style.
Our results show that DNN-based models outperform HMMs and unit selection on both the realism and expressiveness of the generated talking heads, while in terms of adaptation we can successfully adapt an audio-visual HMM set trained on a neutral speaking style database to a target emotion.
Figure 15 Influence of incorrectly chosen GMM model of gender type on stability of the emotion classification; obtained scores (upper set of graphs), determined class of emotion (bottom set); feature set P3, N gmix = 6, N iter = 1200; tested sentence expressed in neutral speaking style by the male speaker (left two graphs), and by the female speaker (right graphs).
The state emphatic has to be commented on especially: based on our experience with other emotion databases [23], any marked deviation from a neutral speaking style can (but need not) be taken as a possible indication of some (starting) trouble in communication.
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Even the general chairman of the Democratic National Committee, Edward G. Rendell, who is supposed to stay neutral, spoke in an interview as if Mr. Bradley had already bowed out.
The women who were deemed the most susceptible to hypnosis spent 80percentt more time in slow-wave sleep (the deep, restorative phase of our shut-eye) after listening to the hypnosis tape than they did after listening to a neutral spoken text.
Participants were asked to memorize a series of neutral words spoken with neutral or sad prosody.
Although the Army's initial July 1941 guidelines for OCS had been drafted as race-neutral, practically speaking few black applicants were admitted into OCS until after subsequent directives by Army leadership.
Few prominent Alawites had defected to the rebel side, and Aleppo's substantial Christian population remained cautiously neutral; Yasir spoke of trying in vain to engage with influential Christians he knew.
Afterward, as it emerged that he was actually a jobless amateur who claimed to be politically neutral and spoke with little of the zing of his online postings, some of his fans turned against him.
The article describes performed experiments and comparison of GMM classification of male and female acted speech in four emotional states (joy, sadness, anger, and a neutral state) spoken in Czech and Slovak.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com