Show HN: Karpathy's Nanogpt but for Audio (github.com)

A new project inspired by Andrej Karpathy's nanogpt has emerged, focusing on audio generation. This initiative demonstrates how audio can be generated from literary works, specifically Shakespeare, using a text-to-speech model for initial input. A transformer model is then trained on this audio data, learning to produce sound that mimics the training material. The simplicity of the project's setup, which can be executed on a Mac M3, allows users with various hardware to experiment with audio synthesis. This development is significant for the AI/ML community as it showcases the potential of transformer models not only in text generation but also in audio processing and synthesis. The integration of audio from text sources broadens the application of neural networks in creative fields and enhances the capabilities of machine learning in understanding and generating human language. The project's technical details include scripts for preparing input audio, converting it into tokens for training, and producing output samples, all optimized for accessibility and practicality, especially for developers with limited computational resources.