Open Access
Princy Tyagi,
- Assistant Professor, Computer Science & Engineering, Swami Rama Himalayan University, Dehradun, Uttarakhand, India
Abstract
Traditional SER research often utilizes microphones with polymer components like Diaphragms and Membranes. Within some microphone designs, polymer membranes which plays a crucial role in converting sound pressure into electrical signals. The paper highlights the application (speech emotion recognition) and have tried to find polymer-based sensors. This work further delves deeper, investigating the performance of the CatBoost algorithm for emotion recognition in voice assistants designed for Indian languages. The research employs a dataset of labelled audio recordings encompassing various emotions in different Indian languages. Mel-Frequency Cepstral Coefficients (MFCC) and pitch features are extracted from the speech data. The CatBoost algorithm is then utilized for classification and compared to other commonly used algorithms like CNN, LSTM, XGBoost, and LightGBM. Our findings demonstrate that CatBoost achieves superior accuracy in emotion recognition compared to the other evaluated algorithms, particularly when using MFCC and pitch features. This highlights the potential of CatBoost for developing robust and efficient SER systems tailored for Indian language voice assistants. This research offers a novel perspective by bridging the gap between machine learning for SER and its potential application in voice assistants designed for specific languages. By leveraging CatBoost’s capabilities, future voice assistants could better understand and respond to the emotional context of user interactions, potentially enhancing the user experience for Indian language speakers.
Keywords: Polymer components, Pattern recognition, Speech Emotion Recognition, Voice Analysis, Machine learning Algorithm.
[This article belongs to Special Issue under section in Journal of Polymer and Composites (jopc)]
Princy Tyagi. Development of Polymer-Based Sensors for Speech Emotion Recognition. Journal of Polymer and Composites. 2024; 12(05):268-274.
Princy Tyagi. Development of Polymer-Based Sensors for Speech Emotion Recognition. Journal of Polymer and Composites. 2024; 12(05):268-274. Available from: https://journals.stmjournals.com/jopc/article=2024/view=176877
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Journal of Polymer and Composites
| Volume | 12 |
| Special Issue | 05 |
| Received | 01/03/2024 |
| Accepted | 16/07/2024 |
| Published | 30/07/2024 |
