Unsupervised Learning and Representation of Mandarin Tonal Categories by a Generative CNN

Kai Schenck, Gašper Beguš

This paper outlines the methodology for modeling tonal learning in fully unsupervised models of human language acquisition. Tonal patterns are among the computationally most comple…