A collection of analysis algorithms for signal processing.
Important classes are as follows:

• LpcAnalyser: Linear prediction analysis using autocorrelation appraoch and Durbin recursion
• LsfAnalyser: Computation of line spectral frequencies (LSFs, or line spectral pairs - LSPs) based on LpcAnalyser
• EnergyAnalyser: Energy contour estimation with voice activity detection support
• F0TrackerAutocorrelationHeuristic: An autocorrelation  based f0 analysis algorithm extended with heuristic post-processing to reduce voiced/unvoiced errors and f0 doubling/halving problems. This tracker works better as compared to Praat but worse as compared to Snack/Wavesurfer. Snack employs RAPT (Robust Algorithm for Pitch Tracking [Talkin, 1995])
  
• SeevocAnalyser: A basic implementation of the Spectral Envelope Estimation Vocoder which fits a spectral envelope to spectral peaks using peak detection and linear interpolation. This is used by sinusoidal models.
• RegularizedCepstrumEstimator (and classes derived from it): Estimation of a spectral envelope by cepstrum method using spectral amplitudes measured in frequency domain. These methods are used in sinusoidal and harmonics plus noise models-
  

[Talkin, 1995] D. Talkin, "A robust algorithm for pitch tracking (RAPT)," in Speech Coding and Synthesis (W. B. Kleijn and K. K. Paliwal, eds.), ch. 14, Elsevier Science, 1995, pp. 495-518.