Spoken Language

Spoken language research focuses on understanding and modeling the complexities of human speech, aiming to improve technologies like speech recognition and translation. Current research emphasizes developing robust models, often employing transformer-based architectures and self-supervised learning, to handle diverse languages, dialects, and noisy audio conditions, particularly for low-resource languages. This work is crucial for advancing human-computer interaction, enabling more natural and inclusive communication with devices and improving accessibility for individuals with speech or hearing impairments. Furthermore, analysis of spoken language is increasingly used to detect cognitive decline and other health conditions.