Learning speaker normalization using semisupervised manifold alignment
Andrew R Plummer, Mary E. Beckman, Mikhail Belkin, Eric Fosler‐Lussier, Benjamin Munson · 2010
As a child acquires language, he or she: perceives acous-tic information in his or her surrounding environment; identi-fies portions of the ambient acoustic information as language-related; and associates that language-related information with his or her perception of his or her own language-related acous-tic productions. The present work models the third task. We use a semisupervised alignment algorithm based on manifold learning. We discuss the concepts behind this approach, and the application of the algorithm to this task. We present experimen-tal evidence indicating the usefulness of manifold alignment in learning speaker normalization. Index Terms: speaker normalization, manifold alignment, lan-guage acquisition