A Spectral-Temporal Metho

In this paper, a new spectral/temporal method is described for robust pitch tracking for both high quality and telephone speech. A previous version of this algorithm was presented as YAAPT (Kasi and Zahorian, 2002) [10]. In the current paper, a novel method is presented for spectral pitch tracking, using nonlinear processing to partially restore the potentially missing fundamental frequency. A frequency domain modified autocorrelation is used to determine the spacing between harmonic peaks in the spectrum. The frequency domain spectral track is then used to refine time-domain pitch candidates obtained using the “NCCF or Normalized Cross Correlation” reported by Talkin [1]. Dynamic programming is used to find the “best ” pitch track among all the candidates, using both local and transition costs. The algorithm was evaluated using the Keele pitch extraction reference database. Index Terms: speech analysis, pitch tracking, dynamic programmin