Anticipatory Music Transformercrfm.stanford.edu 3 pointstarr112 years ago1 commentSaveHideCopy link On HNComments−Rochus2yThe paper was submitted in June 2023. The results sound promising. The approach also seems interesting because apparently they use a different approach than the usual NLP embeddings to encode the training data.
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The paper was submitted in June 2023. The results sound promising. The approach also seems interesting because apparently they use a different approach than the usual NLP embeddings to encode the training data.