This AI Music Research Reworks Classical Songs in New Styles
Alyson Wyers — April 30, 2016 — Tech
References: csl.sony.fr & techcrunch
This AI music research allows Beethoven to be played like The Beatles. This invention in artificial intelligence comes from the Sony Computer Science Library (CSL) in Paris, France. The team was able to use machine learning techniques to reorchestrate songs, including the European Union theme song and Beethoven's 'Ode to Joy' in a more modern style.
Researchers used the max entropy approach to machine learning in order to teach a computer how to recognize the core elements different genres of music. This allowed them to take the classical piece by Beethoven and rework it in different ways, using artificial intelligence.
In addition to AI music research, Sony CSL Paris also performs research in language and sustainability.
Researchers used the max entropy approach to machine learning in order to teach a computer how to recognize the core elements different genres of music. This allowed them to take the classical piece by Beethoven and rework it in different ways, using artificial intelligence.
In addition to AI music research, Sony CSL Paris also performs research in language and sustainability.
Trend Themes
1. AI Music Reorchestration - Max entropy approach to machine learning enables reorchestration of classical songs in different styles with AI.
2. Musical Genre Recognition - Machine learning techniques can teach a computer how to recognize the core elements of different genres of music.
3. Cross-genre Music Experimentation - AI music research allows experimentation with classical pieces using the style of other genres.
Industry Implications
1. Music Technology - New AI techniques are creating opportunities to transform the way music is composed, performed, and enjoyed.
2. Artificial Intelligence - AI technologies continue to revolutionize the way we think about creative works in music and beyond.
3. Academic Research - The development and innovation of AI continues to create new research and sustainability opportunities in a variety of academic fields.
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