Uses of Package
marytts.util.math

Packages that use marytts.util.math

Package	Description
marytts.machinelearning	Machine learning classes for K-Means clustering, Gaussian Mixture Models, and manual data generation for testing purposes.
marytts.signalproc.adaptation	Packages for speaking style and speaker identity adaptation in Mary TTS supporting various voice conversion algorithms.
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.
marytts.signalproc.process
marytts.signalproc.sinusoidal	Sinusoidal analysis/synthesis framework supporting various approaches: Conventional sinusoidal analysis/modification/synthesis Harmonic plus Noise Model (HNM) based analysis/modification/synthesis Multiresolution sinusoidal analysis/modification/snythesis Warning: This is a very basic implementation and it does not work properly! Sines+transients+noise based analysis/modification/synthesis
marytts.signalproc.sinusoidal.hntm.analysis	Analysis package for harmonics plus noise speech models.
marytts.tools.analysis
marytts.util.math	Various relatively generic utilities for maths.
marytts.util.signal	Various relatively generic utilities for signal processing.

Classes in marytts.util.math used by marytts.machinelearning

Class and Description
Polynomial

Classes in marytts.util.math used by marytts.signalproc.adaptation

Class and Description
ComplexArray This is a wrapper class that can hold two double arrays, one of which is interpreted as containing the real values, the other the imaginary values of the complex numbers.

Classes in marytts.util.math used by marytts.signalproc.analysis

Class and Description
ComplexArray This is a wrapper class that can hold two double arrays, one of which is interpreted as containing the real values, the other the imaginary values of the complex numbers.

Classes in marytts.util.math used by marytts.signalproc.process

Class and Description
ComplexArray This is a wrapper class that can hold two double arrays, one of which is interpreted as containing the real values, the other the imaginary values of the complex numbers.

Classes in marytts.util.math used by marytts.signalproc.sinusoidal

Class and Description
ComplexArray This is a wrapper class that can hold two double arrays, one of which is interpreted as containing the real values, the other the imaginary values of the complex numbers.

Classes in marytts.util.math used by marytts.signalproc.sinusoidal.hntm.analysis

Class and Description
ComplexNumber A complex number: real+sqrt(-1).imag

Classes in marytts.util.math used by marytts.tools.analysis

Class and Description
Histogram

Classes in marytts.util.math used by marytts.util.math

Class and Description
ComplexArray This is a wrapper class that can hold two double arrays, one of which is interpreted as containing the real values, the other the imaginary values of the complex numbers.
ComplexNumber A complex number: real+sqrt(-1).imag
DTW.Node
FloatList FloatList is used to maintain a circular buffer of float values.
Polynomial

Classes in marytts.util.math used by marytts.util.signal

Class and Description
ComplexArray This is a wrapper class that can hold two double arrays, one of which is interpreted as containing the real values, the other the imaginary values of the complex numbers.