An analysis of vector Taylor series model compensation for non-stationary noise in speech recognition

• Main Authors: Li, Haizhou, Nguyen, Duc Hoang Ha, Xiao, Xiong, Chng, Eng Siong
• 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/10356/97488; http://hdl.handle.net/10220/11868
• Institution: Nanyang Technological University

In this paper, we investigate a feature conditioning method for the VTS-based model compensation. The VTS is a technique that predicts noisy acoustic model from clean acoustic model and noise model. It is noted that most of the previous studies use a single Gaussian noise model, which is unable to m...