LOCATA

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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