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All functions

ComParE_2016()
Compute the ComParE 2016 openSMILE feature set
GeMAPS()
Compute the GeMAPS openSMILE feature set
acfana()
Analysis of short-term autocorrelation function (From the 'wrassp' package)
afdiff()
Computes the first difference of the signal (From the 'wrassp' package)
affilter()
Filters the audio signal (From the 'wrassp' package)
aperiodicities()
Estimates aperiodicity of a speech signal
cepstrum()
Short-term cepstral analysis (From the 'wrassp' package)
clear_dsp_environment()
Tear down a DSP environment
crepe()
Compute pitch and periodicity using the CREPE pitch tracker
cs_wrap_praat_script()
A concurrency safe way to wrap a Praat script into an R function
cssSpectrum()
Cepstral smoothed version of 'dftSpectrum' (From the 'wrassp' package)
dftSpectrum()
Short-term DFT spectral analysis (From the 'wrassp' package)
differentiate()
Derivation of SSFF track objects
dio()
Compute f0 using the Harvest algorithm
eGeMAPS()
Compute the eGeMAPS openSMILE feature set
emobase()
Compute the emobase openSMILE feature set
forest()
Formant estimation (From the 'wrassp' package)
get_definedtracks()
Get available tracks for a function or an SSFF file
get_extension()
Get the (default) extension for an SSFF producing function or a signal file
get_outputType()
Get the return format of a wrassp/superassp speech signal processing function
get_praat()
Utility function for getting the full path of the Praat executable.
harmonics()
Compute the harmonic frequency structure from f0 measurements
harvest()
Compute f0 using the Harvest algorithm
have_praat()
A simple check of a presence of a Praat executable
kaldi_pitch()
Estimate pitch using the Kaldi modifies version of RAPT
ksvF0()
F0 analysis of the signal (From the 'wrassp' package)
lpsSpectrum()
Linear Predictive smoothed version of 'dftSpectrum' (From the 'wrassp' package)
make_dsp_environment()
A utility function to make a concurrency-safe DSP environment
mhsF0()
Pitch analysis of the speech signal using Michel's (M)odified (H)armonic (S)ieve algorithm (From the 'wrassp' package)
praat_avqi()
Compute the Acoustic Voice Quality Index (AVQI)
praat_dsi()
Compute the Dysphonia Severity Index
praat_formant_burg()
Formant estimation using the Praat burg algorithm implementation
praat_formantpath_burg()
Formant estimation using the FormantPath functionality of Praat
praat_intensity()
Compute a sound signal intensity track using Praat
praat_moments()
Compute spectral moments using Praat
praat_pitch()
Compute f0 tracks using Praat
praat_sauce()
Call the 'praat_sauce' analysis bundle to generate SSFF tracks
praat_voice_report()
Compute the components of a Praat Voice report
praat_voice_tremor()
Computes 18 measures of (vocal) tremor
pyin()
Estimate pitch using the probabilistic YIN algorithm
rapt()
Compute f0 using the RAPT algorithm
reaper()
Extract f0 tracks using the REAPER algoritm
reaper_pm()
Extract pitch marks using the REAPER algoritm
rfcana()
Linear Prediction analysis (From the 'wrassp' package)
rmsana()
Analysis of short-term Root Mean Square amplitude (From the 'wrassp' package)
seenc()
(En)coded spectral envelope estimation
ssffToFormant()
Make a Praat Formant object from an SSFF track track
ssffToPitch()
Make a Pitch object from an SSFF f0 track
store_slice()
Provides the ability to store a multidimensional feature set related to a part of a signal.
superassp-package
superassp: Praat, MATLAB(TM) and wrassp speech signal processing using a wrassp-like interface
superassp_summary()
Summary table of superassp DSP function output
swipe()
Compute f0 using the SWIPE algorithm
torch_pitch()
Pitch tracking using the torch pitch tracker
voice_analysis()
Applies the Voice Analysis Toolbox on all vowel samples in a directory
yaapt()
Compute f0 using the algorithm named Yet Another Algorithm for Pitch Tracking
yin()
Pitch detection using the YIN metod
zcrana()
Analysis of the averages of the short-term positive and negative zero-crossing rates (From the 'wrassp' package)