Target Sound Detection

Target sound detection (TSD) focuses on identifying specific sounds within complex audio mixtures, often using a reference sound as a guide. Current research emphasizes improving robustness to noisy or short reference sounds and exploring mixed-supervised learning frameworks that leverage both fully and weakly labeled data to enhance model accuracy. These advancements, often employing conditional neural networks and attention mechanisms, aim to improve the performance of TSD systems, with implications for applications such as environmental monitoring and assistive listening technologies. The development of more accurate and robust TSD models is crucial for advancing machine hearing capabilities.