Finding temporal structure in music: blues improvisation with LSTM recurrent networks

@inproceedings{Eck2002FindingTS,
  title={Finding temporal structure in music: blues improvisation with LSTM recurrent networks},
  author={Douglas Eck and J{\"u}rgen Schmidhuber},
  booktitle={NNSP},
  year={2002}
}
Few types of signal streams are as ubiquitous as music. Here we consider the problem of extracting essential ingredients of music signals, such as well-defined global temporal structure in the form of nested periodicities (or meter). Can we construct an adaptive signal processing device that learns by example how to generate new instances of a given musical style? Because recurrent neural networks can in principle learn the temporal structure of a signal, they are good candidates for such a… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 143 citations. REVIEW CITATIONS

2 Figures & Tables

Topics

Statistics

0102030'05'07'09'11'13'15'17
Citations per Year

143 Citations

Semantic Scholar estimates that this publication has 143 citations based on the available data.

See our FAQ for additional information.