11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Learning Speaker Normalization Using Semisupervised Manifold Alignment

Andrew R. Plummer (1), Mary E. Beckman (1), Mikhail Belkin (1), Eric Fosler-Lussier (1), Benjamin Munson (2)

(1) Ohio State University, USA
(2) University of Minnesota, USA

As a child acquires language, he or she: perceives acoustic information in his or her surrounding environment; identifies 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 acoustic 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 experimental evidence indicating the usefulness of manifold alignment in learning speaker normalization.

Full Paper

Bibliographic reference.  Plummer, Andrew R. / Beckman, Mary E. / Belkin, Mikhail / Fosler-Lussier, Eric / Munson, Benjamin (2010): "Learning speaker normalization using semisupervised manifold alignment", In INTERSPEECH-2010, 2918-2921.