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This paper presents a music generation method based on the extraction of a semiotic structure from a template piece followed by generation into this semiotic structure using a statistical model of a corpus. To describe the semiotic structure of a template piece, a pattern discovery method is applied, covering the template piece with significant patterns using melodic viewpoints at varying levels of abstraction. Melodies are generated into this structure using a stochastic optimization method. A selection of melodies was performed in a public concert, and audience evaluation results show that the method generates good coherent melodies.

1. Introduction ...328
2. Methods ...330
2.1. Viewpoint representation ...330
2.2. Patterns and semiotic structure ...331
2.3. Statistical model ...333
2.4. Generation ...334
3. Results ...335
3.1. Illustration on a full piece ...335
3.2. London concert and listener evaluation ...335
4. Conclusions and future work ...337
References ...338