In this light, MAPPING is performing speaker normaliza- tion. The challenge is to model the learning of this process. We approach this challenge using recent ...
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 work uses a semisupervised alignment algorithm based on manifold learning to model the third task of language acquisition, and presents experimental ...
Dec 29, 2014 · Conference PaperPDF Available. INTERSPEECH 2010 Learning speaker normalization using semisupervised manifold alignment. August 2010. DOI ...
Inproceedings,. Learning speaker normalization using semisupervised manifold alignment. A. Plummer, M. Beckman ...
Learning speaker normalization using semisupervised manifold alignment ; 2010 · 11th Annual Conference of the International Speech Communication Association.
We use a semisupervised alignment algorithm based on manifold learning. We discuss the concepts behind this approach, and the application of the algorithm to ...
In this paper, we study a family of semisu- pervised learning algorithms for “aligning” different data sets that are characterized by.
Missing: speaker | Show results with:speaker
Learning speaker normalization using semisupervised manifold alignment. AR Plummer, ME Beckman, M Belkin, E Fosler-Lussier, B Munson. Eleventh Annual Conference ...
Eric Fosler-Lussier, & Benjamin Munson (2010). Learning speaker normalization using semisupervised manifold alignment. Proceedings of InterSpeech2010. work ...