« Playing Integrated Musical Knowledges with Artificial Neural Networks »

Recent advances in the last decades in cognitive sciences, neurobiology and computer sciences make artificial neural networks (ANN) more pliable in musical applications. This connexionist paradigm, which is dramatically different to traditionnal computing, requires a variety of approaches, from the more factual (biology, physics, computing) to the more abstract (sciences of cognition, sociology, artificial intelligence).
This text presents some aspects of the Neuromuse project developped at CIRM. In the following notes, we will present some experiences in using self- organizing maps (SOM) to generate meaningful musical sequences, with real-time interfaces, in MaxMSP and Jitter...

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actes de Sound and Music Computing 04, @IRCAM

Playing Integrated Musical Knowledges with Artificial Neural Networks

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