ISSN2320-2882
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Paper Title
Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition
Authors
Miss.Borhade Dnyaneshwari Ravindra , Miss.Bhujbal Rutuja Santosh , Prof.Dnyaneshwar Balu Lokhande( , Prof.Shubhangi Pratik Bombale
Keywords
HCI, Convolutional Neural Network, Acoustic Variability,Hidden Markov Models
Abstract
Human speech is a fundamental mode of communication, rich not only in linguistic data but also in emotional cues. Speech Emotion Recognition (SER) aims to automatically decode emotional states by analyzing vocal characteristics such as spectral shape, rhythm, intensity, and pitch. With the capabilities of modern Artificial Intelligence (AI), deep learning approaches provide superior methods for extracting complex emotional patterns compared to earlier machine learning techniques. This study introduces a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) architecture designed for robust emotion classification. The proposed methodology involves extensive preprocessing and the extraction of multiple features, including Mel-Frequency Cepstral Coefficients (MFCC), Chroma, and Zero Crossing Rate (ZCR). Trained on a fused dataset including benchmark resources like RAVDESS, TESS, and CREMA-D , the CNN-LSTM model demonstrated an overall accuracy of 90%+. This result confirms the model's strong generalization and significant performance improvement over classical methods, offer ing a valuable contribution to emotion-aware AI systems for applications in human-computer interaction (HCI) and mental health analysis.
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IJCRT — journal style
"Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.a891-a896, December 2025, Available :https://ijcrt.org/papers/IJCRT2512116.pdf
APA — 7th edition
Ravindra, M. B. D., Santosh, M. B. R., Lokhande(, P. D. B., & Bombale, P. S. P. (2025). Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition. International Journal of Creative Research Thoughts, 13(12), a891-a896. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116
MLA — 9th edition
Ravindra, Miss.Borhade Dnyaneshwari, et al. "Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. a891-a896, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116.
Chicago — 17th, bibliography
Ravindra, Miss.Borhade Dnyaneshwari, et al. "Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition." International Journal of Creative Research Thoughts 13, no. 12 (2025): a891-a896. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116.
Harvard — author–date
Ravindra, M.B.D. et al. (2025) 'Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition', International Journal of Creative Research Thoughts, 13(12), pp. a891-a896. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116
IEEE — numbered reference
M. B. D. Ravindra, M. B. R. Santosh, P. D. B. Lokhande( and P. S. P. Bombale, "Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition," IJCRT, vol. 13, no. 12, pp. a891-a896, Dec. 2025.
Vancouver — biomedical
Ravindra MBD, Santosh MBR, Lokhande( PDB, Bombale PSP. Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition. IJCRT. 2025 Dec;13(12):a891-a896.
AMA — 11th edition
Ravindra MBD, Santosh MBR, Lokhande( PDB, Bombale PSP. Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition. IJCRT. 2025;13(12):a891-a896. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2512116,
author = {Miss.Borhade Dnyaneshwari Ravindra and Miss.Bhujbal Rutuja Santosh and Prof.Dnyaneshwar Balu Lokhande( and Prof.Shubhangi Pratik Bombale},
title = {Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {12},
pages = {a891-a896},
year = {2025},
month = {December},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Ravindra, Miss.Borhade Dnyaneshwari
AU - Santosh, Miss.Bhujbal Rutuja
AU - Lokhande(, Prof.Dnyaneshwar Balu
AU - Bombale, Prof.Shubhangi Pratik
TI - Evaluating the CNN-LSTM Hybrid Architecture for Robust Speech Emotion Recognition
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 12
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116
SP - a891-a896
ER -
Issue
Volume 13 Issue 12,
December-2025
Pages : a891-a896
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 12, December 2025
- Pages
- a891-a896
- Published
- December 2025
- Registration ID
- IJCRT_298266
- Published Paper ID
- IJCRT2512116
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Junnar, Maharashtra, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 202
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512116
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2512116.pdf
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