Silvia Monica Feraru

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Automatic emotion recognition from speech has matured close to the point where it reaches broader commercial interest. One of the last major limiting factors is the ability to deal with multilingual inputs as will be given in a real-life operating system in many if not most cases. As in real-life scenarios speech is often used mixed across languages more(More)
This paper presents an efficient segmentation method which uses simple neural network architecture. The goal was to implement an automatic annotation instrument of the vocal signal, capable to make the separation between vowel and consonant signal, respectively pauses between utterances. This instrument is used in the features extraction from the vowels(More)
In the communication in the international negotiation, the people must adopt certain ways to deliver the message in order to support and enforce in a most effective strategies and tactics adopted by the negotiating team. The analysis of the emotion expressiveness in the voice, setting new theoretical methodologies and algorithms to identify and classify the(More)
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