カイシェン ヤオ,クルディップ パリワル,中村哲
ロバスト音声認識：雑音適応音声認識、シーケンシャルモンテカルロ
および生成要素分析HMM
Abstract:This report presents works on robust speech recognition carried out by the authors. The
reports have two major works. The first is noisy speech recognition in non-stationary
environments, which include noise adaptive speech recognition based on sequential
Kullback proximal algorithm, and sequential noise compensation based on sequential
Monte Carlo method. The second part is on acoustic modeling, with a work denoted as
generative factor analyzed HMM.