How do I analyze songs?
Generated on 8/2/2024
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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:
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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
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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
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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:
- Support real-time ML inference on the CPU
- Accelerate machine learning with Metal
- 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.
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