This document discusses methods for running pitch detection on mobile devices. It compares zero crossing, autocorrelation, and harmonic product spectrum (HPS) algorithms, and recommends FFT and phase shift. The suggested process is to window the input signal, run FFT to calculate the phase shift, identify peaks, and store results for a duration. Volume in decibels can indicate voiced and unvoiced sounds. FFT has limitations in range, noise, and accuracy, but can be optimized for real-time use on mobile through accelerator libraries and multithreading.

1. Running pitch detection on mobile Name Your logo

2. Methods Zero Crossing AutoCorrelation HPS ... 2 Stack Overflow Suggests Your logo FFT and phase shift

3. What works.. Window the input signal Run FFT Calculate phase shift Get Peaks Store the results for a duration Volume decibel as an indicator for voiced and unvoiced sound. 2 Steps Your logo

4. Methods Limited FFT Range Noise Accuracy Realtime Feedback 2 Problems Your logo

5. FFT 2 What is it? Your logo Fundamental Frequency FFT Bin ~ 43Hz

6. Phase Overlap Why? Your logo

7. Performance Tips Accelerator library NSThread 2 How fast? Your logo

8. Questions <TODO> 2 Did it fly? Your logo