A Posterior Union Model with Applications to Robust Speech and Speaker Recognition

A Posterior Union Model with Applications to Robust Speech and Speaker Recognition

<p/> <p>This paper investigates speech and speaker recognition involving partial feature corruption, assuming unknown, time-varying noise characteristics. The probabilistic union model is extended from a conditional-probability formulation to a posterior-probability formulation as an imp...

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Bibliographic Details
Main Authors: Lin Jie, Ming Ji, Smith F Jack
Format: Article
Language:English
Published: SpringerOpen 2006-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/ASP/2006/75390

Internet

http://dx.doi.org/10.1155/ASP/2006/75390

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