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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38791

ANALYZING EMOTIONAL TONES IN VIRTUAL ASSISTANT CONVERSATIONS

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38791

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

JVH

J. Venkata Harini

GV

G. Venu

GVKR

G. Vijay Kiran Reddy

BVD

B. Vinayaka Datta

MVG

M. Vinesh Goud

DTKM

Dr Thayyaba Khatoon Mohammed

DSD

Dr Sujit Das

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Abstract

Emotions play a critical role in human mental life, serving as a primary medium through which individuals express their perspectives and mental states. These emotions can manifest in various forms, such as vocal tones, written text, and facial expressions. This project focuses on developing an advanced system to detect and interpret emotions conveyed through speech. This system, known as the Speech Emotion Analyzer (SEA), aims to identify the emotional state of a speaker based on audio samples. Speech Emotion Analyzer (SEA) can be defined as extraction of the emotional state of the speaker from his or her speech signal through audio.

KEYWORDS

Speech emotion Emotion Recognition Natural Language Processing Audio Analysis Machine Learning Sentiment Analysis

Cite This Article

J. Venkata Harini, G. Venu, G. Vijay Kiran Reddy, B. Vinayaka Datta, M. Vinesh Goud, Dr Thayyaba Khatoon Mohammed, Dr Sujit Das, "ANALYZING EMOTIONAL TONES IN VIRTUAL ASSISTANT CONVERSATIONS," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/16/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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