LOCATA

The LOCATA dataset is a dataset for acoustic source localization. It consists of real-world ambisonic speech recordings with optically tracked azimuth-elevation labels.

Source: Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks Image Source: https://www.locata.lms.tf.fau.de/files/2018/05/LOCATA_Paper_SAM_Workshop_2018.pdf