A unified interpretation of adaptation approaches based on a macroscopic time evolution system and indirect/direct adaptation approaches

Shinji Watanabe*, Atsushi Nakamura

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Incremental adaptation techniques for speech recognition are aimed at adjusting acoustic models quickly and stably to time-variant acoustic characteristics due to temporal changes of speaker, speaking style, noise source, etc. Recently we proposed a novel incremental adaptation framework based on a macroscopic time evolution system, which models the time-variant characteristics by successively updating posterior distributions of acoustic model parameters. In this paper, we provide a unified interpretation of the proposal and the two major conventional approaches of indirect adaptation via transformation parameters (e.g. Maximum Likelihood Linear Regression (MLLR)) and direct adaptation of classifier parameters (e.g. Maximum A Posteriori (MAP)). We reveal analytically and experimentally that the proposed incremental adaptation involves both the conventional and their combinatorial approaches, and simultaneously possesses their quick and stable adaptation characteristics.

本文言語English
ホスト出版物のタイトル2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
ページ4285-4288
ページ数4
DOI
出版ステータスPublished - 2008 9月 16
外部発表はい
イベント2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
継続期間: 2008 3月 312008 4月 4

出版物シリーズ

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

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
国/地域United States
CityLas Vegas, NV
Period08/3/3108/4/4

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

フィンガープリント

「A unified interpretation of adaptation approaches based on a macroscopic time evolution system and indirect/direct adaptation approaches」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル