Google has released data and a machine learning model for sound separation
Google has published a database of benchmark mixed sounds, equipped with annotations, which can be used in machine learning systems for separating arbitrary mixed sounds into individual components. A universal deep learning model (TDCN++) has also been released, which can be utilized in Tensorflow for sound separation. The data was prepared based on the collection from freesound.org and published under a CC BY license […]
