patrickreidy/phoneigen: Phonetic Analyses with Laplacian Eigenmaps

Functions for applying manifold-and-eigenmapping methods to high-dimensional speech data to learn low-dimensional representations of speech for phonetic analysis. Includes a data set that comprises productions of the sibilant fricatives /s, S/ by native American English-speaking adults, productions by native American English-acquiring two- and three-year-old children, and ratings of the children's productions by native American English-speaking adult listeners. Includes a vignette on how to construct a manifold from speech data and then eigenmap it to a low-dimensional representation on which phonetic analysis can proceed. Accompanies the manuscript: A. R. Plummer and P. F. Reidy (submitted). "Computing low-dimensional representations of speech from socio-auditory structures for phonetic analyses". Journal of Phonetics.

install.packages("remotes")
remotes::install_github("patrickreidy/phoneigen")