Incremental adaptation based on a macroscopic time evolution system

Shinji Watanabe, Atsushi Nakamura

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this paper, we propose a new incremental model adaptation approach based on posterior distributions of model parameters. We consider a propagation mechanism of the posterior distributions whereby that the process of posterior refinement is modeled analytically. Then, we derive an incremental estimation algorithm based on a time evolution system, which explicitly includes a discrete stochastic process unlike the conventional Bayesian approaches. This algorithm is viewed as a general solution of the Kalman filter algorithm, where posterior distributions make a transition after every input of an utterance set, and where the evolutions of posterior distributions are represented on a macroscopic time scale.

本文言語English
ホスト出版物のタイトル2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
ページIV769-IV772
DOI
出版ステータスPublished - 2007 8 6
外部発表はい
イベント2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
継続期間: 2007 4 152007 4 20

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
4
ISSN(印刷版)1520-6149

Conference

Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period07/4/1507/4/20

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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