How do I analyze songs?

To analyze songs, you can leverage several techniques and tools discussed in various WWDC sessions. Here are some relevant points and sessions that might help you:

1. Real-time ML Inference on the CPU:

   • This session discusses how to use BNNS Graph for real-time audio processing. You can create an audio unit project that adopts BNNS Graph to process audio signals efficiently.
   • Support real-time ML inference on the CPU

2. Accelerate Machine Learning with Metal:

   • This session explains how to use Metal Performance Shaders (MPS) for fast Fourier transforms (FFT), which is essential for analyzing the frequency spectrum of audio signals.
   • Accelerate machine learning with Metal

3. Enhance your spatial computing app with RealityKit audio:

   • This session covers how to handle different categories of audio and control their levels, which can be useful for creating a dynamic audio analysis environment.
   • Enhance your spatial computing app with RealityKit audio

Relevant Sessions:

1. Support real-time ML inference on the CPU
2. Accelerate machine learning with Metal
3. Enhance your spatial computing app with RealityKit audio

These sessions provide a comprehensive overview of the tools and techniques you can use to analyze songs, from real-time processing to leveraging GPU capabilities for efficient computation.