wrassp is a wrapper for R around Michel Scheffers's libassp (Advanced Speech Signal Processor). The libassp library aims at providing functionality for handling speech signal files in most common audio formats and for performing analyses common in phonetic science/speech science. This includes the calculation of formants, fundamental frequency, root mean square, auto correlation, a variety of spectral analyses, zero crossing rate, filtering etc. This wrapper provides R with a large subset of libassp's signal processing functions and provides them to the user in a (hopefully) user-friendly manner.
This package is part of the next iteration of the EMU Speech Database Management System which aims to be as close to an all-in-one solution for generating, manipulating, querying, analyzing and managing speech databases as possible. For an overview of the system please visit this URL: http://ips-lmu.github.io/EMU.html.
Available signal processing functions:
acfana: Analysis of short-term autocorrelation function
afdiff: Computes the first difference of the signal
affilter: Filters the audio signal (see docs for types)
cepstrum: Short-term cepstral analysis
cssSpectrum: Cepstral smoothed version of dftSpectrum
dftSpectrum: Short-term DFT spectral analysis
forest: Formant estimation
ksvF0: F0 analysis of the signal
lpsSpectrum: Linear Predictive smoothed version of dftSpectrum
mhsF0: Pitch analysis of the speech signal using Michel's (M)odified (H)armonic (S)ieve algorithm
rfcana: Linear Prediction analysis
rmsana: Analysis of short-term Root Mean Square amplitude
zcrana: Analysis of the averages of the short-term positive and negative zero-crossing rates
Available file handling functions:
read.AsspDataObj: read an existing SSFF file into a AsspDataObj which is its in-memory equivalent.
write.AsspDataObj: write a AsspDataObj out to a SSFF file.