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Monica Dinculescu

2 accepted papers

2020

Encoding Musical Style with Transformer Autoencoders

ICML 2020poster

We consider the problem of learning high-level controls over the global structure of generated sequences, particularly in the context of symbolic music generation with complex language models. In this work, we present the Transformer autoencoder, which aggregates encodings of the input data across t…

Cited by 136SourcePDFScholar
2019

Music Transformer: Generating Music with Long-Term Structure

ICLR 2019poster

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. The Transformer (Vaswani et al., 2017), a sequence model based on self-attention, ha…

Cited by 0SourcePDFScholar