Neural-SRP combines SRP flexibility with DNN performance for improved sound source localization.
A novel method for multi-sound source localization without prior knowledge, utilizing an Iterative Object Identification module and Object Similarity-aware Clustering loss.
The proposed TF-Mamba network effectively models time and frequency dependencies in audio data to achieve state-of-the-art performance in sound source localization tasks.