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NVIDIA AI Podcast

Ep. 34: Pierre Barreau Explains How Aiva Uses Deep Learning to Make Music

Aug 8, 2017
Pierre Barreau, head of Aiva Technologies, dives into the revolutionary intersection of AI and music. He shares how deep learning techniques enable AI to compose original orchestral pieces, akin to great composers. The discussion highlights the crucial role of human curation in refining AI outputs and addresses copyright challenges surrounding AI-generated music. Barreau also explores future possibilities, emphasizing AI's potential to personalize music for video games, creating immersive experiences tailored to individual preferences.
21:13

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Aiva Technologies utilizes deep learning to compose original music by learning from classical compositions, ensuring adherence to copyright regulations.
  • The collaboration between AI and human composers enhances music creation by combining rapid generation with emotional depth and narrative alignment.

Deep dives

AI Composing Original Music

An AI system has been developed to compose original music by training on a vast dataset of classical compositions, including works from renowned composers like Mozart and Beethoven. This system utilizes deep learning algorithms to extract high-level musical features, enabling it to create unique pieces that adhere to human playing constraints, such as finger placements on instruments. The process allows for rapid composition, with some themes being generated in as little as four minutes, and frequently involves collaboration with human musicians for recording to enhance sound quality and emotional depth. The music's originality is ensured as it is composed by an AI that adheres to copyright regulations, marking an innovative approach in the music industry.

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