Row 8741

Row ID: 8741 | Dataset Entry | Axioma AXP Content Repository

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Hi,

The ScorePerformer paper (see: [https://www.researchgate.net/publication/377272701\_ScorePerformer\_Expressive\_Piano\_Performance\_Rendering\_With\_Fine-Grained\_Control](https://www.researchgate.net/publication/377272701_ScorePerformer_Expressive_Piano_Performance_Rendering_With_Fine-Grained_Control)) mentions that the output of the score content embedding Cs contains L rows, while all other sequences contain N amount of rows (with N probably meaning the number of notes). I don't see why this would be L and they also didn't provide what that means.

Also they mention the MMD loss, where it's not clear what dimension these z and z' symbols gave. I thought matrices were written capitalized (so should style embedding Z then be), but what are these z symbols (vectors, matrices, ...)? Also what is the || between p and q and what type of norm is used in the Gaussian Kernel?

Thanks in advance

FieldValue
text Hi, The ScorePerformer paper (see: [https://www.researchgate.net/publication/377272701\_ScorePerformer\_Expressive\_Piano\_Performance\_Rendering\_With\_Fine-Grained\_Control](https://www.researchgate.net/publication/377272701_ScorePerformer_Expressive_Piano_Performance_Rendering_With_Fine-Grained_Control)) mentions that the output of the score content embedding Cs contains L rows, while all other sequences contain N amount of rows (with N probably meaning the number of notes). I don't see why …
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-19
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{
  "text": "Hi,\n\nThe ScorePerformer paper (see: [https://www.researchgate.net/publication/377272701\\_ScorePerformer\\_Expressive\\_Piano\\_Performance\\_Rendering\\_With\\_Fine-Grained\\_Control](https://www.researchgate.net/publication/377272701_ScorePerformer_Expressive_Piano_Performance_Rendering_With_Fine-Grained_Control)) mentions that the output of the score content embedding Cs contains L rows, while all other sequences contain N amount of rows (with N probably meaning the number of notes). I don't see why this would be L and they also didn't provide what that means.\n\nAlso they mention the MMD loss, where it's not clear what dimension these z and z' symbols gave. I thought matrices were written capitalized (so should style embedding Z then be), but what are these z symbols (vectors, matrices, ...)? Also what is the || between p and q and what type of norm is used in the Gaussian Kernel?\n\nThanks in advance",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-19",
  "username_encoded": "Z0FBQUFBQm5Lakw0cFBZV3JDakNiN0Iyak4wZ0hmVDBYVmhCM1lOYWRFN0dVbW8tZTlodWJWdmc3SkthZThaUmxPX2dwQzJ3UzVxQ1B5Z2c0Yk9ZX3VEZ19sM1VHcVdoT0E9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9Ibk5HaTdFeTNoTENFOWtQRGhqREFXN05jMnFJdEE2bnVxT2poLVhZQ05salYta0tqdWVjT2xpR0MwWHp4T185aUhYRnRNalFlVnhPb0w1eTMzcnVBRTVOTEpPUmNaMS1SXzRBUUZ3RzU3b09SMGhYMGZGNmlsSkk0dENLQzBBSDBTXzJ3ck4wU2pwNnk4VHA2MW9BNXFKRU5EY05CQXFCbmx2RmEzSzlNSmN5ZzVzNi02VjZhZnh4bzNjY0FRb0RkeHdjZ0NlenM2cTJRUnRiemthcXhQZz09"
}
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