Uses of Class
marytts.signalproc.analysis.F0Tracker.F0Candidate

Packages that use F0Tracker.F0Candidate

Package

Description

marytts.signalproc.analysis

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.

Uses of F0Tracker.F0Candidate in marytts.signalproc.analysis

Methods in marytts.signalproc.analysis that return F0Tracker.F0Candidate

Modifier and Type	Method and Description
protected F0Tracker.F0Candidate	F0Tracker.F0Contour.getBest(int index)

Methods in marytts.signalproc.analysis with parameters of type F0Tracker.F0Candidate

Modifier and Type	Method and Description
protected void	F0Tracker.CandidateEstimator.addCandidate(F0Tracker.F0Candidate[] candidates, F0Tracker.F0Candidate newCandidate)
protected void	F0Tracker.CandidateEstimator.addCandidate(F0Tracker.F0Candidate[] candidates, F0Tracker.F0Candidate newCandidate)
protected void	F0Tracker.F0Contour.addFrameAnalysis(F0Tracker.F0Candidate[] candidates)
boolean	F0Tracker.F0Candidate.betterThan(F0Tracker.F0Candidate other)
protected abstract void	F0Tracker.CandidateEstimator.findCandidates(F0Tracker.F0Candidate[] candidates, double[] frame)
protected void	F0TrackerAutocorrelationDP.CandidateEstimator.findCandidates(F0Tracker.F0Candidate[] candidates, double[] frame)
protected abstract double	F0Tracker.TransitionCost.getCost(F0Tracker.F0Candidate a, F0Tracker.F0Candidate b)
protected void	F0Tracker.CandidateEstimator.normaliseCandidatesScores(F0Tracker.F0Candidate[] candidates)