ISCA Archive Interspeech 2023
ISCA Archive Interspeech 2023

SR-SRP: Super-Resolution based SRP-PHAT for Sound Source Localization and Tracking

Jae-Heung Cho, Joon-Hyuk Chang

Sound source localization and tracking have been extensively studied. Recently, there has been considerable interest in highly reverberant scenarios and steered response power with phase transform (SRP-PHAT) based models have shown a good performance. However, these models still have limitations because the SRP-PHAT algorithm cannot represent the direction of the source in such adverse environments. In this paper, we propose a novel structure combining a super-resolution model and a single sound source localization model that allows to improve direction estimation performance. The proposed method generates a robust power map that accurately represents the direction of the source, even in poor scenarios. Furthermore, the proposed structure has a lower computational cost because it uses a low-resolution map. Experimental results on simulation-based and real-world data show that the proposed method outperforms the state-of-the-art model, Cross3D.