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3 articles for “speech emotion recognition”

• Published Subscription 8 Oct 2024

  Face and Speech Emotion Recognition

  By Shruti Chavan, Akshay Parab, Kaushik Patil, Sumitra Kulkarni

  Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article →

• 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 →

• Published Subscription 20 Jun 2024

  Multi Label Sentiment Analysis of Covid Handling of Government through Tweets

  By Sayed Abdulhayan, Mohammed Arshad, Mohammed Bashith Ali, Muhammad Ajmal P.M, Irfaz Ahmed

  Abstract: Determining someone's emotional state from a written text might be challenging, but it's crucial because textual expressions often transcend the use of emotion terminology. They emerge from the way concepts are seen and relate to one another inside the text. Text sentiment recognition is a critical skill for human-computer interaction. Text-based emotion recognition still requires further research, despite significant progress in speech and facial expression emotion detection. expressions and movements. …

  Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 26–31 Read article →