Direct Path Phase Difference

Direct-path phase difference (DPD) refers to the phase difference between signals arriving at two microphones from a single sound source, a crucial cue for sound localization. Current research focuses on leveraging deep learning, particularly recurrent neural networks, to accurately extract and utilize DPD information, even in complex scenarios with multiple moving sources and environmental noise. This improved DPD analysis enhances sound source localization algorithms, particularly in applications like robotics and audio engineering, by providing more robust and accurate spatial information. The development of more sophisticated DPD-based models promises to significantly improve the performance of sound localization systems in challenging real-world environments.