Types of objects

Praat contains the following types of objects and Editors. For an introduction and tutorials, see Intro.

General purpose:

• Matrix: a sampled real-valued function of two variables
• Polygon
• PointProcess: a point process (PointEditor)
• Sound: a sampled continuous process (SoundEditor, SoundRecorder, Sound files)
• LongSound: a file-based version of a sound (LongSoundEditor)
• Strings
• Distributions, PairDistribution
• Table, TableOfReal
• Permutation
• ParamCurve

Periodicity analysis:

• Tutorials:
   • Intro 4. Pitch analysis
   • Intro 6. Intensity analysis
   • Voice (jitter, shimmer, noise)
• Pitch: articulatory fundamental frequency, acoustic periodicity, or perceptual pitch (PitchEditor)
• Harmonicity: degree of periodicity
• Intensity, IntensityTier: intensity contour
• Electroglottogram

Spectral analysis:

• Tutorials:
   • Intro 3. Spectral analysis
   • Intro 5. Formant analysis
• Spectrum: complex-valued equally spaced frequency spectrum (SpectrumEditor)
• Ltas: long-term average spectrum
• Spectro-temporal: Spectrogram, BarkSpectrogram, MelSpectrogram
• Formant: acoustic formant contours
• LPC: coefficients of Linear Predictive Coding, as a function of time
• Cepstrum, CC, LFCC, MFCC (cepstral coefficients)
• Excitation: excitation pattern of basilar membrane
• Excitations: an ensemble of Excitation objects
• Cochleagram: excitation pattern as a function of time

Labelling and segmentation (see Intro 7. Annotation):

• TextGrid (TextGridEditor)

Listening experiments:

• ExperimentMFC

Manipulation of sound:

• Tutorials:
   • Intro 8.1. Manipulation of pitch
   • Intro 8.2. Manipulation of duration
   • Intro 8.3. Manipulation of intensity
   • Filtering
   • Source-filter synthesis
• PitchTier (PitchTierEditor)
• Manipulation (ManipulationEditor): overlap-add
• DurationTier
• FormantGrid

Articulatory synthesis (see the Articulatory synthesis tutorial):

• Speaker: speaker characteristics of a woman, a man, or a child
• Articulation: snapshot of articulatory specifications (muscle activities)
• Artword: articulatory target specifications as functions of time
• (VocalTract: area function)

Neural net package:

• FFNet: feed-forward neural net
• PatternList
• Categories: for classification (CategoriesEditor)

Numerical and statistical analysis:

• Eigen: eigenvectors and eigenvalues
• Polynomial, Roots, ChebyshevSeries, LegendreSeries, ISpline, MSpline
• Covariance: covariance matrix
• Confusion: confusion matrix
• Discriminant analysis: Discriminant
• Principal component analysis: PCA
• Correlation, ClassificationTable, SSCP
• DTW: dynamic time warping

Multidimensional scaling:

• Configuration (Salience)
• Kruskal analysis: Dissimilarity (Weight), Similarity
• INDSCAL analysis: Distance, ScalarProduct
• Correspondence analysis: ContingencyTable

Optimality-theoretic learning (see the OT learning tutorial)

• OTGrammar (OTGrammarEditor)

Bureaucracy

• WordList, SpellingChecker

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