Voice Stress

Voice stress analysis aims to detect stress levels in speech by analyzing acoustic features, leveraging the fact that mental and physical states influence vocal characteristics. Current research focuses on developing robust models, often combining traditional signal processing techniques with deep neural networks like self-supervised learning architectures, to overcome challenges posed by individual variability in stress responses and diverse stress types. These advancements hold promise for improving the accuracy and efficiency of stress detection across various languages and contexts, with potential applications in healthcare, security, and human-computer interaction.