Paper Title
Speech Emotion Recognition Using Deep Learning
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Keywords
Speech, Emotion, Noise.
Abstract
Communication is an integral part of the human social life. We communicate using the different semantics known to us and we express our thoughts, ideas and opinions via tone and linguistics. It has been observed that humans convey information using various emotions such as anger, fear, sadness, calm, disgust, happiness, etc. Humans have been able to perceive such emotions because of years of social interaction among them, but such gifted abilities are restricted and limited to humans only. Machines, which us humans are dependent on nowadays do not have this luxury. Machines are not as capable as us humans to process such delicate and intricate information on their own and hence, there is a need to train them accordingly resulting in easier and better communication. In the field of human computer inter- action (HCI), emotion recognition from the computer is still a challenging issue, especially when the recog- nition is based solely on voice, which is the basic mean and the most integral part of human communication. In human computer interaction systems, emotion recognition could provide the users with improved personalization services by being adaptive to their emotions. Therefore, emotion detection from speech could have many potential applications in order to make the machine more flexible to the user and thus enriching and bettering user’s needs and experience. In the proposed system we will be using various Deep Learning (ML) techniques to build and train a model which is capable of detecting and recognizing the various emotions known to man. By this project, one of our aims is to enrich customer experiences in call centers by analyzing various call recordings and recognize the emotional aspects of speech irrespective of the semantic contents.
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How To Cite (APA)
Alisha Joy, Srushti Rathod, Aman Khakhi, & Stella J (April-2023). Speech Emotion Recognition Using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), f42-f49. https://ijnrd.org/papers/IJNRD2304507.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : f42-f49
Other Publication Details
Paper Reg. ID: IJNRD_192496
Published Paper Id: IJNRD2304507
Downloads: 000122014
Research Area: Information TechnologyÂ
Author Type: Indian Author
Country: kalyan, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304507.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304507
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