Speech emotion recognition (SER), which has gained greater attention in recent years, is a
key aspect of the human–computer interaction process. However, a wide range of strategies …

Stress is a psychological or emotional strain that occurs due to adverse experiences in
human life. This paper showcases the application of deep learning in detecting stress levels …

In the realm of image and signal processing," data" refers to any piece of information that
can be transformed into a format that can be efficiently processed. It is projected that by …

This research revolutionizes real-time video analysis by seamlessly integrating emotion,
age, gender, and object detection in each frame of a live video feed. The framework …

The recognition and understanding of emotions in individuals have become increasingly
important in the modern era due to the pervasive nature of online interactions. The proposed …

Speaker identification is used for identifying an individual based on their voice. Signal
processing and deep neural networks are used for feature extraction. This paper presents a …

Speech emotion recognition is an important research area in speech processing as it has a
wide range of applications in fields such as human-robot interaction, sentiment analysis, and …

This research involves the use of deep learning techniques to detect emotions, in Telugu
speech signals, a research domain that has received little attention. Amrita speech emotion …

—The value that comes from accurate detection and understanding human emotions stands
across a ton of domains. This paper details a few well-tested models applied in a unique …

Speech recognition plays a pivotal role in the realm of natural language processing that
deals in converting the language into the written text, providing human-computer interaction …