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Music Transformer NLL 0.335 # 2 Compare. Methods used in the Paper Edit Add Remove. METHOD TYPE; Sigmoid Activation Activation Functions Tanh Activation Activation Functions Residual Connection. The very best soundtrack clips from Transformers, Transformers 2: Revenge of the Fallen, and Transformers 3: Dark of the Moon epicly mixed together.

Self-reference occurs on multiple timescales, from motifs to phrases to reusing of entire sections of music, such as in pieces with ABA structure. The Transformer (Vaswani et al., 2017), a sequence model based on self-attention, has achieved compelling results in many generation tasks that require maintaining long-range coherence.
Music Transformer. ∙ by Cheng-Zhi Anna Huang, et al. ∙ Google ∙ 0 ∙ share. Music relies heavily on repetition to build structure and meaning. Self-reference occurs on multiple timescales, from motifs to phrases to reusing of entire sections of music, such as in pieces with ABA structure.

[Submitted on 1 Feb 2020 (v1), last revised 10 Aug 2020 (this version, v3)]

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Abstract: A great number of deep learning based models have been recently proposed forautomatic music composition. Among these models, the Transformer stands out asa prominent approach for generating expressive classical piano performance witha coherent structure of up to one minute. The model is powerful in that itlearns abstractions of data on its own, without much human-imposed domainknowledge or constraints. In contrast with this general approach, this papershows that Transformers can do even better for music modeling, when we improvethe way a musical score is converted into the data fed to a Transformer model.In particular, we seek to impose a metrical structure in the input data, sothat Transformers can be more easily aware of the beat-bar-phrase hierarchicalstructure in music. The new data representation maintains the flexibility oflocal tempo changes, and provides hurdles to control the rhythmic and harmonicstructure of music. With this approach, we build a Pop Music Transformer thatcomposes Pop piano music with better rhythmic structure than existingTransformer models.

Submission history

From: Yu-Siang Huang [view email]
[v1] Sat, 1 Feb 2020 14:12:35 UTC (530 KB)
[v2] Fri, 31 Jul 2020 15:05:24 UTC (847 KB)

[v3]Mon, 10 Aug 2020 07:27:05 UTC (2,573 KB)
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Soundtrack Information

Silva Screen (SILED4848)

Release Date:June 29, 2018

Performed by
London Music Works

Format: Digital

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