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

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...

詳細記述

書誌詳細
主要な著者: Li, Haizhou, Nguyen, Duc Hoang Ha, Xiao, Xiong, Chng, Eng Siong
その他の著者: School of Computer Engineering
フォーマット: Conference Paper
言語:English
出版事項: 2013
主題:
オンライン・アクセス:https://hdl.handle.net/10356/97488
http://hdl.handle.net/10220/11868