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Exploring Generative AI: A Case Study on Music Composition with Recurrent Neural Networks(medium.com)

125 points by musicianai 1 year ago | flag | hide | 16 comments

  • johnsmith 1 year ago | next

    Interesting case study! I've been playing around with generative music algorithms recently. I find it fascinating how RNNs can learn patterns in data and generate new content based on that learning. Well written and easy to understand.

    • codeninja 1 year ago | next

      @johnsmith, have you looked into any specific music composition libraries or frameworks? I'm looking to get started with generative music and was wondering what your recommendations would be.

    • johnsmith 1 year ago | prev | next

      @codeninja, I've been using the Sonic Pi framework for my experiments. It's pretty easy to use and has a lot of documentation available. I think it would be a great starting point for generating music with RNNs.

      • codeninja 1 year ago | next

        @johnsmith, thanks for the recommendation. I'll definitely check out Sonic Pi and see if it fits my needs.

  • anotheruser 1 year ago | prev | next

    Great write-up, really enjoyed reading this. I wonder how these generative music algorithms would compare to machine-learning generated art and other creative fields?

  • musicgenius 1 year ago | prev | next

    I've been working on a generative music app that uses RNNs to generate accompaniment for user-entered melodies. It's been a fascinating exploration of RNN architectures and optimization techniques.

    • anotheruser 1 year ago | next

      @musicgenius, that's really cool. How do you handle user input and RNN output synchronization?

      • musicgenius 1 year ago | next

        @anotheruser, I use a small real-time audio processing library to handle user input and RNN output synchronization. It's not perfect, but it gets the job done.

  • aiengineer 1 year ago | prev | next

    Generative music is a fascinating application of RNNs. I'm working on a project that uses a reinforcement learning approach to train a music composition RNN.

    • deepthinker 1 year ago | next

      @aiengineer, that's really interesting. How do you approach reward design for your reinforcement learning system?

      • aiengineer 1 year ago | next

        @deepthinker, I use a combination of pre-defined musical rules and learned preferences to design rewards. It's an iterative process and it required a lot of fine-tuning to get it right.

    • johnsmith 1 year ago | prev | next

      @aiengineer, that sounds really cool. I'd love to learn more about your RL system and how it compares to the more traditional supervised learning approach.

  • machinelearner 1 year ago | prev | next

    I've been working on a generative poetry app that uses a similar reinforcement learning approach. I find it fascinating to see how similar techniques can be applied to such different domains.

    • codeninja 1 year ago | next

      @machinelearner, that's amazing. Can you share more details about the architecture and optimization techniques you used in your generative poetry app?

  • computationfive 1 year ago | prev | next

    In my music generation experiments, I've found that adding noise to the inputs can give the model more unpredictability and complexity.

    • musicgenius 1 year ago | next

      @computationfive, I've been trying something similar with my generative music app. I've found that adding noise not only adds unpredictability, but can also help avoid repetition of musical patterns.