PDA

[jurihock]

Approaches:

• Spectral peak picking / Vocoder / HPS (still insufficient spectral resolution)
  • Sliding Q-Transform + "Fast, Accurate Frequency Estimators" + HPS (better spectral resolution)
• Cepstral analysis (e.g. combined with formant extraction)
• Autocorrelation / YIN (e.g. via separate CPU task)
• F0 detection via regression analysis
• CREPE via Torch

See also:

• Comparison of Pitch Trackers for Real-Time Guitar Effects
• Real-time Pitch Tracking in Audio Signals with the Extended Complex Kalman Filter + orchidas/Pitch-Tracking
• sevagh/pitch-detection
• Traditional Machine Learning for Pitch Detection
• Fast, Accurate Frequency Estimators

TODO:

• https://dsp.stackexchange.com/questions/27029/fast-pitch-recognition
• https://dsp.stackexchange.com/questions/29962/how-to-deal-with-low-fundamental-when-using-amdf-for-pitch-extraction
• https://dsp.stackexchange.com/questions/22067/what-is-an-amdf
• https://stackoverflow.com/questions/973370/fast-average-square-difference-function
• https://stackoverflow.com/questions/3949324/calculate-autocorrelation-using-fft-in-matlab
• https://stackoverflow.com/questions/4583950/cepstral-analysis-for-pitch-detection