1 publication

• Published Subscription 20 Aug 2026

  Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier

  By Divyansh Sharma, Yash Vashist, Aniket Malik, Astha Tripathi, Poonam Rani

  Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …

  Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article →