Speaker Information

Speaker information extraction and utilization are central to advancing speech processing, aiming to identify and isolate individual speakers within audio recordings, regardless of background noise or overlapping speech. Current research focuses on developing robust models, often employing transformer-based architectures and techniques like prompt learning, to achieve this, particularly in challenging scenarios with multiple speakers or low-resource languages. These advancements have significant implications for applications such as meeting transcription, voice assistants, and personalized speech technologies, improving accessibility and enhancing user experience.