Supplementary files for the paper:
Pitch Detection Enhancement Employing Music Prediction
Marek Szczerba, Andrzej Czyżewski
Files are in Mathematica 3.0 format.
Mathematica notebooks
Fundamental frequency detection using autocorrelation method [autocorr.nb]
Comb-filter method [comb.nb]
Meddis-Hewitt method [meddis.nb]
Cepstral method [cepstral.nb]
Fundamental frequency detection using AMDF [amdf.nb]
Beauchamp detector [beauchamp.nb]
Pitch tracking based on McAulay-Quatieri method [mcaq.nb]
Fundamental frequency detection based on envelope analysis [envelope.nb]
Schroeder's histogram [histogram.nb]
Fundamental frequency detection based on paralell processing [paralell.nb]
Spectral compression [spectrcomp.nb]
Histogram in frequency domain [spectrdiv.nb]
Zero-crossing threshold methods - TABE [TABE.nb]
Zero-crossing threshold methods - TTABE [TTABE.nb]
Zero-crossing threshold methods - ZXABE [ZXABE.nb]
Pitch tracking based on short-time processing [pitchtrack.nb]
All notebooks, zipped (2MB) [notebooks.zip]
Data files
Data files - autok.dat, autoc_0.data, autoc_0.8.data (zipped, 3.66MB) [datafiles.zip]
WAV files
1akord.wav
1drawbar.wav
1fuzz.wav
1organ.wav
1piano.wav
1square.wav
1trumpet.wav
filtered.wav
oboe1.wav
speech.wav
testmq.wav
MIDI files
1akord.mid
1drawbar.mid
1guit.mid
1oboe.mid
1organ.mid
1piano.mid
1rockorg.mid
1saw.mid
1sbrass.mid
1square.mid
1trump.mid
1violin.mid