Praat contains the following types of objects and Editors. For an introduction and tutorials, see Intro.
General purpose:
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• Matrix: a sampled real-valued function of two variables
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• Polygon
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• PointProcess: a point process (PointEditor)
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• Sound: a sampled continuous process (SoundEditor, SoundRecorder, Sound files)
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• LongSound: a file-based version of a sound (LongSoundEditor)
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• Strings
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• Distributions, PairDistribution
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• Table, TableOfReal
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• Permutation
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• ParamCurve
Periodicity analysis:
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• Tutorials:
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• Intro 4. Pitch analysis
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• Intro 6. Intensity analysis
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• Voice (jitter, shimmer, noise)
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• Pitch: articulatory fundamental frequency, acoustic periodicity, or perceptual pitch (PitchEditor)
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• Harmonicity: degree of periodicity
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• Intensity, IntensityTier: intensity contour
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• Electroglottogram
Spectral analysis:
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• Tutorials:
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• Intro 3. Spectral analysis
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• Intro 5. Formant analysis
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• Spectrum: complex-valued equally spaced frequency spectrum (SpectrumEditor)
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• Ltas: long-term average spectrum
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• Spectro-temporal: Spectrogram, BarkSpectrogram, MelSpectrogram
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• Formant: acoustic formant contours
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• LPC: coefficients of Linear Predictive Coding, as a function of time
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• Cepstrum, CC, LFCC, MFCC (cepstral coefficients)
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• Excitation: excitation pattern of basilar membrane
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• Excitations: an ensemble of Excitation objects
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• Cochleagram: excitation pattern as a function of time
Labelling and segmentation (see Intro 7. Annotation):
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• TextGrid (TextGridEditor)
Listening experiments:
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• ExperimentMFC
Manipulation of sound:
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• Tutorials:
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• Intro 8.1. Manipulation of pitch
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• Intro 8.2. Manipulation of duration
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• Intro 8.3. Manipulation of intensity
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• Filtering
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• Source-filter synthesis
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• PitchTier (PitchTierEditor)
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• Manipulation (ManipulationEditor): overlap-add
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• DurationTier
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• FormantGrid
Articulatory synthesis (see the Articulatory synthesis tutorial):
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• Speaker: speaker characteristics of a woman, a man, or a child
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• Articulation: snapshot of articulatory specifications (muscle activities)
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• Artword: articulatory target specifications as functions of time
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• (VocalTract: area function)
Neural net package:
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• FFNet: feed-forward neural net
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• PatternList
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• Categories: for classification (CategoriesEditor)
Numerical and statistical analysis:
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• Eigen: eigenvectors and eigenvalues
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• Polynomial, Roots, ChebyshevSeries, LegendreSeries, ISpline, MSpline
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• Covariance: covariance matrix
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• Confusion: confusion matrix
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• Discriminant analysis: Discriminant
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• Principal component analysis: PCA
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• Correlation, ClassificationTable, SSCP
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• DTW: dynamic time warping
Multidimensional scaling:
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• Configuration (Salience)
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• Kruskal analysis: Dissimilarity (Weight), Similarity
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• INDSCAL analysis: Distance, ScalarProduct
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• Correspondence analysis: ContingencyTable
Optimality-theoretic learning (see the OT learning tutorial)
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• OTGrammar (OTGrammarEditor)
Bureaucracy
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• WordList, SpellingChecker
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