Significantly faster generation and training for AI-based audio systems

What this post added

Introduced the Symbol-to-Instrument Neural Generator (SING), a neural audio synthesizer that generates musical notes significantly faster than traditional AI systems. SING achieves this by producing audio in larger batches (up to 1,024 samples at once) and demonstrates a generation time 2,500x faster and training time 32x faster than state-of-the-art encoder-based systems like WaveNet, while maintaining high realism.