Certain genres, such as pop and electronic music, often result in better generated maps, thanks to the similarities they share with the model tracks. However, because the model’s sample tracks mainly feature fast electronic-based music, the AI does skew itself to work better for certain types of songs. The resulting AI is completely self-taught and can generate a map from any audio track. “ Beat Sage is looking at the audio spectrogram and learning (from data) to answer the question ‘how likely would it be for a human to put a block at this point in time?'” the creators explained in an email. It essentially tried to teach itself what works well for certain types of audio, music and instruments, based of the selection it was given. Instead, Agarwal and Donahue curated a sample of select official and community-made maps which the AI used to teach itself how Beat Saber maps are constructed. To be clear, this isn’t just a computer determining the beats per minute (BPM) of an audio track and assigning notes and patterns that align with the beat. So why does Beat Sage work so well? Well, it uses an AI that has been trained on human-made maps and applies that to neural networks, allowing it to develop a custom map for any piece of music. At its best, it produces AI-generated maps that are engaging, nuanced and sometimes even challenging. ![]() Beat Sage may not be perfect, but it does appear to be one of the better automatic map generators available for any rhythm game, let alone Beat Saber. The pair reiterate that their tool remains in active development with more features and improvements to the AI still to come. Their next update will deliver a set of much anticipated features, including one saber maps, obstacles and support for 90 degree map generation. ![]() Since launch they’ve added support for bombs and the ability to generate maps from MP3 uploads. The two of them worked on Beat Sage in their spare time for the next few months and launched in April. A month later, in January 2020, he began intermittent work on what would become Beat Sage and spoke to Agarwal, who runs an AI design firm called Polytopal and agreed to help out. “I first tried Beat Saber in December 2019 and loved it immediately,” Donahue, an AI researcher at Stanford University, explained in an email. With the tool still in active development, we reached out to Donahue and Agarwal to get a better understanding of what makes Beat Sage tick and how it might be improved in the future. ![]() We tried it out, and were left suitably impressed - the resulting tracks are fun, challenging and better than many other auto-map generators for rhythm games. Late last month, Chris Donahue and Abhay Agarwal launched an impressive new tool called ‘Beat Sage’, which uses artificial intelligence and neural networks to automatically generate custom Beat Saber maps from any song in seconds.
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