Functions for applying Laplacian Eigenmaps to acoustic data for the purpose of phonetic analysis. Includes data sets of adult speakers' productions of American English /s, S/ and of productions of /t, k/. Vignettes apply Laplacian Eigenmaps to high-dimensional spectral representations so as to learn low-dimensional representations for the /s/-vs-/S/ and the /t/-vs-/k/ contrasts, respectively. 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.
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