Recognition of Human Emotion by Speech Processing
R.D. Bodke1 , M.P. Satone2
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-10 , Page no. 261-264, Oct-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i10.261264
Online published on Oct 31, 2018
Copyright © R.D. Bodke, M.P. Satone . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: R.D. Bodke, M.P. Satone, “Recognition of Human Emotion by Speech Processing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.261-264, 2018.
MLA Style Citation: R.D. Bodke, M.P. Satone "Recognition of Human Emotion by Speech Processing." International Journal of Computer Sciences and Engineering 6.10 (2018): 261-264.
APA Style Citation: R.D. Bodke, M.P. Satone, (2018). Recognition of Human Emotion by Speech Processing. International Journal of Computer Sciences and Engineering, 6(10), 261-264.
BibTex Style Citation:
@article{Bodke_2018,
author = {R.D. Bodke, M.P. Satone},
title = {Recognition of Human Emotion by Speech Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {261-264},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3015},
doi = {https://doi.org/10.26438/ijcse/v6i10.261264}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.261264}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3015
TI - Recognition of Human Emotion by Speech Processing
T2 - International Journal of Computer Sciences and Engineering
AU - R.D. Bodke, M.P. Satone
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 261-264
IS - 10
VL - 6
SN - 2347-2693
ER -
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Abstract
The emotion recognition from speech is used for in human computer interaction. Most of researchers doing research on emotion recognition using speech signal. This project attempts language emotion recognition using speech signal of English language. The emotional speech samples are stored in database and used for Training And Testing. The feature extraction MFCC, PSD and Pitch detection algorithms are used. For classification of different emotions like Angry, Happy/Joy and Normal state SVM classifier is used. The all steps are implemented using MATLAB software. Raspberry pi is used for detection of emotion on hardware This classified emotions can be used for various application areas like medical, security, military etc.
Key-Words / Index Term
MFCC, PSD, SVM etc
References
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