A Corpus-Based Hybrid Approach to Music Analysis and Composition

AAAI Conferences

We present a corpus-based hybrid approach to music analysis and composition, which incorporates statistical, connectionist, and evolutionary components. Our framework employs artificial music critics, whichmaybe trained on large music corpora, and then pass aesthetic judgment on music artifacts. Music artifacts are generated by an evolutionary music composer, which utilizes music critics as fitness functions. To evaluate this approach we conducted three experiments. First, using music features based on Zipf's law, we trained artificial neural networks to predict the popularity of 992 musical pieces with 87.85% accuracy. Then, assuming that popularity correlates with aesthetics, we incorporated such neural networks into a genetic-programming system, called NEvMuse. NEvMuse autonomously "composed" novel variations of J.S. Bach's Invention #13 in A minor (BWV 784), variations which many listeners found to be aesthetically pleasing. Finally, we compared aesthetic judgments from an artificial music critic with emotional responses from 23 human subjects.


How 'creative AI' can change the future of music for everyone

#artificialintelligence

Do you think you can tell a piece of music composed by artificial intelligence (AI) from one created by a human composer? Before you read any further, let's find out. The following audio consists of two fragments, one written by AI, the other by a human. We're inviting 250 to exhibit at TNW Conference and pitch on stage! If you didn't get it right the first time, no worries--we'll have a couple more mini-quizzes like this below.


How "creative AI" can change the future of music for everyone

#artificialintelligence

Do you think you can tell a piece of music composed by artificial intelligence (AI) from one created by a human composer? Before you read any further, let's find out. The following audio consists of two fragments, one written by AI, the other by a human. If you didn't get it right the first time, no worries--we'll have a couple more mini-quizzes like this below. The AI that wrote the fragment above has been programmed by Jukedeck, a UK-based startup working on machine-made music that won the competition at TechCrunch Disrupt London in 2015.


How 'creative AI' can change the future of music for everyone

#artificialintelligence

Do you think you can tell a piece of music composed by artificial intelligence (AI) from one created by a human composer? Before you read any further, let's find out. The following audio consists of two fragments, one written by AI, the other by a human. Last year, Facebook's VP of Design thought the TNW Conference main stage was the best she'd ever been on. If you didn't get it right the first time, no worries--we'll have a couple more mini-quizzes like this below.


How 'creative AI' can change the future of music for everyone

#artificialintelligence

Do you think you can tell a piece of music composed by artificial intelligence (AI) from one created by a human composer? Before you read any further, let's find out. The following audio consists of two fragments, one written by AI, the other by a human. TNW Conference won best European Event 2016 for our festival vibe. See what's in store for 2017.