It is an evaluation index of mixed audio, but I think that it can also be used for evaluating mastering audio. Mi圎valuationIndex 20190207 (MEI 20190207) is an objective evaluation index of mixed audio constructed using subjective evaluation data of The Mix Evaluation Dataset. THE MIX EVALUATION DATASET index Mi圎valuationIndex20190207 (MEI20190207)

Please see the GitHub repository below for a specific mix list. The reason is that it is easy to master without artifacts when the loudness range is large, and there is a mismatch of automatic mastering when the subjective evaluation is low. In the mix audio license, CC BY's, we selected the one with the largest loudness range for each song and the one with the lowest average subjective rating as the comparison target tone. This mix evaluation data set includes multiple mixed audio for various songs and subjective evaluation results by multiple people for each mixed audio. We chose the sound to be compared from the following mix evaluation data set. Mastering various sounds with LANDR and AI Mastering and comparing the results with various indicators. * Since there are comparative sounds in the other people, please listen Comparison method We found that AI Mastering has higher MEI 20190207 than LANDR.ĪI Mastering has a tendency that the loudness range is larger than the LANDR, the Boominess is small, the Depth is small, and the Warmth is small.

We compared the sounds mastering with AI Mastering and LANDR at MEI 20190207. We proposed an index that can objectively evaluate the mix MEI 20190207. We compared LANDR and AI Mastering in sound quality.

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