Emotion Speech Recognition – Bridging Human and AI Communication

Emotion Speech Recognition – Bridging Human and AI Communication

Registration ID: IJNRD_300176

Published ID: IJNRD2409036

DOI: Click Here to Get

Mrs.P.DIVYA , G.HARINI , T.S.SURUTHI

Human-Computer Interaction (HCI), Deep Learning, linguistic features, emotional understanding

Emotion recognition from speech signals is an important but challenging component of Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER), many techniques have been utilized to extract emotions from signals, including many well-established speech analysis and classification techniques. Deep Learning techniques have been recently proposed as an alternative to traditional techniques in SER. Speech emotion recognition is the task of automatically detecting the emotional state of a speaker from their spoken words. It is a growing area of research that has applications in various fields such as human computer interaction, education, and psychology. There are several approaches to speech emotion recognition, including the use of machine learning algorithms, which can be trained on large datasets of annotated speech samples to recognize patterns associated with different emotions. Other approaches include the use of linguistic features, prosodic features, and physiological signals such as facial expressions and heart rate. One challenge in speech emotion recognition is the variability in the expression of emotions across individuals and cultural groups. Another challenge is the need to accurately identify the underlying emotion, as opposed to simply recognizing the presence or absence of an emotion. Overall, speech emotion recognition has the potential to improve communication between humans and machines, and to provide insights into the emotional states of individuals.

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"Emotion Speech Recognition – Bridging Human and AI Communication", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 9, page no.a348-a352, September-2024, Available :https://ijnrd.org/papers/IJNRD2409036.pdf

Volume 9 Issue 9, September-2024

Pages : a348-a352

Paper Reg. ID: IJNRD_300176

Published Paper Id: IJNRD2409036

Downloads: 000121117

Research Area: Science and Technology

Country: CUDDALORE, TAMIL NADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2409036.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2409036

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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