LOCATA
Introduced by Heinrich W. Löllmann et al. in The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking
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 NetworksPapers
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