Keyword Detection

Keyword detection aims to identify the most important words or phrases within a text or audio stream, facilitating information retrieval and analysis. Current research focuses on improving accuracy and robustness across diverse datasets, including low-resource languages and noisy social media data, employing techniques like transformer-based models, n-gram boosting, and graph-based methods incorporating word embeddings. These advancements are crucial for applications ranging from speech-to-text transcription and real-time social media monitoring to personalized voice assistants and improved accessibility for underrepresented groups.