In this work, for melody generation, we propose a novel architecture, Three Branch Conditional (TBC) LSTM-GAN conditioned on lyrics which is composed of a LSTM-based generator and discriminator respectively. The generative model is composed of three branches of identical and independent lyrics-...
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A Recurrent Neural Network that can learn song lyrics and their melodies and then given a melody and a few words to start with, predict the rest of the song. - GitHub - nevoit/Song-Lyrics-Generator-using-RNNs: A Recurrent Neural Network that can learn s
Relational memory core is exploited to model not only the dependency inside each sequence of attribute during the training of the generator, but also the consistency among three sequences of attributes during the training of the discriminator. Through extensive experiments using evaluation metrics, e....
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— The Sentence and word parsing : Using the two last mentionned format, this one consist ofparsing the lyrics and notes in sentences and, whithin these sentences, to separateeverything in words.1 One note always containing one and only one syllable. We parsed every songs in continous attribu...
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Everything about that album was magical: the laminated cover, beautiful artwork, pristine deep groove vinyl, inner sleeve, lyrics, production. It even smelled good. Adding to the magic, Decca moved the band to it’s progressive subsidiary, Deram, and deemed the album an initial release in a...
to the melody represented by the supplied melody data; and a melody generator which utilizes at least a part of the melody represented by the supplied melody data as first melody data for the designated musical section, creates second melody data for the remaining sections other than the ...