A data processing device, comprising: a first determination unit configured to output a first determination result relating to a scene of content through use of sound data; a second determination unit configured to determine an attribute of the content from among a plurality of attribute candidates; wherein the first determination unit is configured to output the first determination result based on a scene determination model generated through machine learning relating only to a part of the plurality of attribute candidates, wherein the scene determination model performs machine learning on content for training relating to the part of the plurality of attribute candidates, wherein the first determination unit is configured to extract a feature from the sound data, and perform classification based on the scene determination model, to thereby output a score relating to each of a plurality of scene candidates as the first determination result, a processing selection unit configured to select processing for the sound data by a first selection method based on the first determination result, wherein the processing selection unit is configured to select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, and wherein the processing selection unit is configured to employ the first selection method when the attribute of the content is included in the part of the plurality of attribute candidates that have been subjected to the machine learning by the scene determination model, and employ the second selection method when the attribute of the content is not included in the part of the plurality of attribute candidates that have been subjected to the machine learning by the scene determination model; and a sound data processor configured to execute the processing employed by the processing selection unit on the sound data. a first determination unit configured to output a first determination result relating to a scene of content through use of sound data; a second determination unit configured to determine an attribute of the content from among a plurality of attribute candidates; wherein the first determination unit is configured to output the first determination result based on a scene determination model generated through machine learning relating only to a part of the plurality of attribute candidates, wherein the scene determination model performs machine learning on content for training relating to the part of the plurality of attribute candidates, wherein the first determination unit is configured to extract a feature from the sound data, and perform classification based on the scene determination model, to thereby output a score relating to each of a plurality of scene candidates as the first determination result, a processing selection unit configured to select processing for the sound data by a first selection method based on the first determination result, wherein the processing selection unit is configured to select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, and wherein the processing selection unit is configured to employ the first selection method when the attribute of the content is included in the part of the plurality of attribute candidates that have been subjected to the machine learning by the scene determination model, and employ the second selection method when the attribute of the content is not included in the part of the plurality of attribute candidates that have been subjected to the machine learning by the scene determination model; and a sound data processor configured to execute the processing employed by the processing selection unit on the sound data.