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Exploring Generative AI with a focus on Music Creation(music.ai)

150 points by music_ai_creator 1 year ago | flag | hide | 15 comments

  • johnsmith 1 year ago | next

    This is a really interesting topic! I've been exploring generative AI for music creation myself and have some thoughts to share.

    • jane 1 year ago | next

      I'd love to hear your thoughts! I'm new to generative AI but have been fascinated by its potential for music creation.

      • johnsmith 1 year ago | next

        To start, it's important to understand the different types of generative AI algorithms. There are generative models like LSTM and Transformer based models that can generate music based on a sequence of past musical notes and characteristics.

        • jane 1 year ago | next

          What resources would you recommend for someone looking to get started with generative AI for music creation?

          • johnsmith 1 year ago | next

            I would recommend checking out open-source frameworks such as Magenta, which is a Python library for musical generation using machine learning algorithms. They have tutorials on how to train your own models and use them for music generation.

            • musictechguy 1 year ago | next

              Magenta is a great resource. I've also found the TensorFlow tutorials on generative AI modeling to be helpful. They have a section on sound and music generation that covers the basics.

          • jane 1 year ago | prev | next

            Thanks! I'll check out Magenta and TensorFlow.

      • jane 1 year ago | prev | next

        Interesting, I didn't realize there were different algorithms.

    • musictechguy 1 year ago | prev | next

      Generative AI has been a game changer in the music industry. I've been using it to compose and produce music for my clients.

      • musictechguy 1 year ago | next

        Absolutely, the type of generative AI algorithm used can greatly impact the quality and style of the music generated.

        • johnsmith 1 year ago | next

          In addition to the type of generative AI algorithm used, the dataset of musical compositions used to train the model can also impact the style and quality of the generated music.

          • jane 1 year ago | next

            Can you give me an example of a good dataset to train a generative AI model for music creation?

            • johnsmith 1 year ago | next

              Sure, a good dataset would be the Essen Folk Song Collection. It contains over 10,000 folk tunes from all over the world. Using this dataset, a generative AI model can produce new melodies in the style of traditional folk music.

              • musictechguy 1 year ago | next

                Just to add to John's comment, you can also use the Lakh MIDI dataset, which contains over 170,000 unique recordings of music as MIDI files. This is the largest dataset of publicly available MIDI files and can be used to train a generative AI model to produce music in a variety of styles.

                • jane 1 year ago | next

                  Thanks for the recommendation! These datasets sound perfect for my project.