Emotion Recognition in Human Speech - A Comprehensive Review of Techniques and Applications
Anusha Shinde
Psychology
May 2024
The field of Affective computing is rapidly emerging as a game-changer within computer science, striving to enhance the interaction between humans and machines. One of its focal points lies in its ability to make machines cognizant of human emotions, garnering significant attention across various disciplines such as Information Sciences and Human-Computer Interaction (HCI). Human speech is a fundamental means of communication, replete with emotional cues. Consequently, this has piqued interest in affecting computer research into emotion recognition speech.This research paper aims to highlight the numerous strategies applied to identify emotional states in vocal expressions, by providing a short review of the ongoing research in this domain. Since it is critical to extract useful features from speech signals, the article also analyzes machine learning approaches, focussing on classifiers and datasets. Machine learning can evaluate retrieved speech characteristics and categorize emotional states, thereby precisely identifying emotions. Emotion recognition can have many uses, including the medical field, field of Psychology, Cognitive sciences and even marketing. In the medical field, it can gauge patients’ emotional distress and track mental health. In psychology and cognitive sciences, it can decipher emotional and behavioral patterns. Tailored marketing and sentiment analysis of the customer are critical in the field of marketing.
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