At the moment recognition of a person's emotional state is an actual topic and can be applied in many sectors such as medicine, psychology, marketing, security. Analysis of the speech signal and the image of the person performing the responsible activity (astronaut, pilot, operator of the nuclear power plant, air traffic controller, etc.) is used to exclude the possibility of error. Moreover, the approaches developed here can be applied in different areas, for example, alcohol intoxication, fatigue, depression, etc
In recent years, the interaction between humans and machines has become an issue of concern. This pa...
The current stress markers are mostly invasive, in which they require samples from the patients’ bod...
The goal of this work is to introduce an architecture to automatically detect the amount of stress i...
Humans connect to each other through language. Verbal words play an important role in communication....
Speech recognition is far from an easy task, because of the unique nature of the human emotional tex...
Emotions are quite important in our daily communications and recent years have witnessed a lot of re...
Human’s emotional states affect their utterances which are generated through vocal cord vibrations. ...
In this article, the issues of machine learning are considered in solving the monitoring issues of t...
Extracting the data from real-life speech and recognizing emotions from them is one of the challengi...
Affective computing is becoming increasingly significant in the interaction between humans and machi...
This thesis compares several machine learning algorithms: identify which model would be best at clas...
Speech Emotion Recognition (SER) poses a significant challenge with promising applications in psycho...
The human voice encodes a wealth of information about emotion, mood and mental states. With the adve...
Detecting emotions from the speech is one of the emergent research fields in the area of human infor...
Creating machines with the ability to reason, perceive, learn and make decisions based on a human li...
In recent years, the interaction between humans and machines has become an issue of concern. This pa...
The current stress markers are mostly invasive, in which they require samples from the patients’ bod...
The goal of this work is to introduce an architecture to automatically detect the amount of stress i...
Humans connect to each other through language. Verbal words play an important role in communication....
Speech recognition is far from an easy task, because of the unique nature of the human emotional tex...
Emotions are quite important in our daily communications and recent years have witnessed a lot of re...
Human’s emotional states affect their utterances which are generated through vocal cord vibrations. ...
In this article, the issues of machine learning are considered in solving the monitoring issues of t...
Extracting the data from real-life speech and recognizing emotions from them is one of the challengi...
Affective computing is becoming increasingly significant in the interaction between humans and machi...
This thesis compares several machine learning algorithms: identify which model would be best at clas...
Speech Emotion Recognition (SER) poses a significant challenge with promising applications in psycho...
The human voice encodes a wealth of information about emotion, mood and mental states. With the adve...
Detecting emotions from the speech is one of the emergent research fields in the area of human infor...
Creating machines with the ability to reason, perceive, learn and make decisions based on a human li...
In recent years, the interaction between humans and machines has become an issue of concern. This pa...
The current stress markers are mostly invasive, in which they require samples from the patients’ bod...
The goal of this work is to introduce an architecture to automatically detect the amount of stress i...