ISCA Archive SpeechProsody 2008
ISCA Archive SpeechProsody 2008

A fundamental frequency estimator by crosscorrelation of adjacent spectra

Philippe Martin

All fundamental frequency estimators based on spectral analysis rely heavily on a proper harmonic selection of the voice analyzed. Since in practice other spectral peaks pertaining to different sources are present in the signal, various schemes have been design to ensure a satisfactory elimination of non pertinent harmonics.

This paper introduces a new harmonic selection algorithm based on harmonic alignment of adjacent frames. This new approach ensures better pitch tracking, and gives satisfactory results even in the presence of another speech source. The algorithm has been implemented and incorporated in the speech analysis program WinPitch, and tested on various examples provided in the Speech Separation Challenge project.


Cite as: Martin, P. (2008) A fundamental frequency estimator by crosscorrelation of adjacent spectra. Proc. Speech Prosody 2008, 147-150

@inproceedings{martin08_speechprosody,
  author={Philippe Martin},
  title={{A fundamental frequency estimator by crosscorrelation of adjacent spectra}},
  year=2008,
  booktitle={Proc. Speech Prosody 2008},
  pages={147--150}
}