Significantly faster generation and training for AI-based audio systems

Introduced SING (Symbol-to-Instrument Neural Generator), a neural audio synthesizer that generates musical notes with significantly faster training and audio generation times compared to existing AI networks. SING produces audio in larger batches (up to 1,024 samples at once) and achieves generation speeds 2,500x faster and training speeds 32x faster than comparable systems like WaveNet, while maintaining high realism.