Lasso environment model combination for robust speech recognition

• Main Authors: Xiao, Xiong, Li, Jinyu, Chng, Eng Siong, Li, Haizhou
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/98809; http://hdl.handle.net/10220/13389
• Institution: Nanyang Technological University

In this paper, we propose a novel acoustic model adaptation method for noise robust speech recognition. Model combination is a common way to adapt acoustic models to a target test environment. For example, the mean supervectors of the adapted model are obtained as a linear combination of mean superv...