Incremental adaptation based on a macroscopic time evolution system

Shinji Watanabe, Atsushi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIV769-IV772
DOIs
Publication statusPublished - 2007 Aug 6
Externally publishedYes
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: 2007 Apr 152007 Apr 20

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Conference

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

Keywords

  • Acoustic model
  • Discrete stochastic process
  • Incremental adaptation
  • Macroscopic time evolution
  • Speech recognition

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Watanabe, S., & Nakamura, A. (2007). Incremental adaptation based on a macroscopic time evolution system. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. IV769-IV772). [4218214] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4). https://doi.org/10.1109/ICASSP.2007.367026