Statistical Analysis of the Relationship between Audio and Video Speech Parameters for Australian English

Roland Goecke, Bruce Millar

    Research output: Contribution to conferencePaperpeer-review

    20 Citations (Scopus)

    Abstract

    After decades of research, automatic speech processing has become more and more viable in recent years. Audio-video speech recognition has been shown to improve the recognition rate in noise-degraded environments. However, which audio and video speech parameters to choose for an optimal system and how they are related is still an open research issue. Here we present a number of statistical analyses that aim at increasing our understanding of such audio-video relationships. In particular, we look at the canonical correlation analysis and the coinertia analysis which investigate the relationship of linear combinations of parameters. The analyses are performed on Australian English as an example.

    Original languageEnglish
    Pages133-138
    Number of pages6
    Publication statusPublished - 2003
    Event2003 International Conference on Audio-Visual Speech Processing, AVSP 2003 - St. Jorioz, France
    Duration: 4 Sept 20037 Sept 2003

    Conference

    Conference2003 International Conference on Audio-Visual Speech Processing, AVSP 2003
    Country/TerritoryFrance
    CitySt. Jorioz
    Period4/09/037/09/03

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