Classifiers For Emotional Speech Recognition

The tone of voice used and facial expressions can show concern, disbelief, boredom, irritation and all other emotions.

For my term project, I would like to build a program that has the capabilities to judge people’s moods based on their current facial expressions. My project would need user’s to have a webcam or an external camera. In addition, this project requires users to follow certain guidelines to ensure that the project works properly. Users must be in a well-lit area, do not cover their face, and are not wearing anything over their eyes, mouth, and face. Upon following these guidelines, my project will use the user’s eyes and mouth to determine their mood. The five moods that my program will be able to recognize are happy, sad, calm neutral, fear/stress, and angry/disgust.

. The second component of this project is the chip that is going to receive the analog signal from the microphone sensor when the person speaks. It is the critical part of this project. The chip that will be proposed in this project called voice recognition 3. This chip has a small flash memory that can save 80 voice commands. However, the maximum number of the voice commands that can work at the same time are 7 voice commands. Any word can by a command (2). However, we must train the module first before let it recognizing any voice command. This chip has two controlling ways. The way that is going to be proposed in this project called serial UART because it is easier to train it and save the commands in the memory. Also, perform the required functions which are “go forward, stop, left, right and reverse”.

Our vocalics which includes pitch, rate, and volume help us mean what we say. If an employee is frustrated, their vocalics will reveal the emotion to the supervisor.

The purpose of this experiment was to test the validity of using facial electromyography (EMG) as a physiological measure of the valence of radio listeners’ emotional responses to advertisements and to explore the effects of message valence and listener arousal on attention and memory. This study attempts to clearly differentiate between the concepts of emotional tone and emotional response and explore the usefulness and validity of EMG as a real-time, physiological measure of the valence of radio listeners’ emotional responses to messages. This study also addresses three questions in understanding the relationship between emotional media messages and audience member’s response to those messages. The researchers submitted four hypotheses. The first hypothesis predicted that zygomatic muscle activity would be significantly greater during positive

The concept of being emotional has bounced around the spectrum in different societies giving the word different meanings, with the most common being the Oxford dictionary. With the most common mix-up with the word being moody. The Oxford Dictionary states that emotional, “is of or relating to a person's emotions and moody is given to unpredictable changes of mood, especially sudden bouts of gloominess or sullenness”. There are so many misconceptions about the words true meaning it’s no wonder that the word has changed so many times though history and in so many cultures, but there needs to be a distinction. Emotional people are easy to identify as they seem to have more fluctuation in their emotional habitats, such as being easily influenced

Do you ever wonder what a person is actually feeling? When it comes to emotions, facial expressions are most of the time not valid. A poker face can mask a winning hand in cards while a smile can conceal frustration or sorrow. Unlike simple books, people can be very difficult to read, so by using wireless signals, Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers from MIT have created a device that can expose a person’s emotions. The Eq-radio is 87% accurate at detecting if a person is furious, happy, excited, or gloomy and does it without on-body sensors by measuring subtle changes in heart and breathing patterns.

I watched this emotional message video a couple times just to be sure I received the right information about emotional messages. I am an emotional person so this was important for me to get a clear understanding of the subject. Emotional messages are also seen as emotional events and with this in mind, we use emotional words such as joy, sadness, fear, anger, disgust and surprise. Realizing what is happening in the moment is important so we can step back, look at the information, then analysis it. Four things help give us power in these events. One, awareness of self and information gives us power. Two, being able to identify the emotion and reason gives us power. Three, knowing when your emotions may have the best of you gives you power and

Study revealed that self-reported features like HRV, negative emotion words, mean audio intensity were associated with conflict chance at 69.2 for anger and 62.3% for expressed negative emotion, for unweighted accuracy (UA). Testing unimodal feature groups, accuracy reported was 66.1 and 72.1 percent for the female and male partners, respectively. Combinations of modalities based on EDA, ECG activity, synchrony scores, language used, acoustic data, self-reports, and context and interaction resulted in UAs up to 79.6 percent (sensitivity = 73.5 percent and specificity = 85.7 percent) for females and 86.8 percent (sensitivity =

emotion recognition include approaches which tend to extract a representation of the face appearance, adopting some classification framework. Some approaches use temporal information, other use a frame-based representation. The newer works are supported by the

Unfortunately, scientists have discovered that implementing a perfect speech recognition system is no easy task. This report will present the principles and the major approaches to speech

The original idea of this study came from The Handbook of Emotion Elicitation and Assessment by James A. Coan, John J.B. Allen, and John J. B. Allen.

Speech recognition is a broader solution which refers to technology that can recognize speech without being targeted at single speaker—such as acall system that can recognize arbitrary voices.

The parameters for assessing one’s own emotional intelligence are mainly pegged on the ability to accurately interpret other people’s emotions and being able to design suitable responses. More importantly, emotional intelligence hinges on our ability to read

(Lin, C.T., Wang, S.W., Lee, C., Chen, Y.H., 2016, p.46) We assume all different age groups who are familiar with smart technology will be interested in this product.