Cognitively inspired audiovisual spe...
Abel, Andrew.

 

  • Cognitively inspired audiovisual speech filtering[electronic resource] :towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.454
    書名/作者: Cognitively inspired audiovisual speech filtering : towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system // by Andrew Abel, Amir Hussain.
    作者: Abel, Andrew.
    其他作者: Hussain, A.
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xviii, 121 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Speech processing systems.
    標題: Fuzzy logic.
    標題: Computer Science.
    標題: Multimedia Information Systems.
    標題: Image Processing and Computer Vision.
    標題: Language Translation and Linguistics.
    ISBN: 9783319135090
    ISBN: 9783319135083
    內容註: Introduction -- Audio and visual speech relationship -- The research context -- 4 A two stage multimodal speech enhancement system -- Experiments, results, and analysis -- Towards fuzzy logic based multimodal speech filtering -- Evaluation of fuzzy logic proof of concept -- Conclusions and future work.
    摘要、提要註: This book presents a summary of the cognitively inspired basis behind multimodal speech enhancement, covering the relationship between audio and visual modalities in speech, as well as recent research into audiovisual speech correlation. A number of audiovisual speech filtering approaches that make use of this relationship are also discussed. A novel multimodal speech enhancement system, making use of both visual and audio information to filter speech, is presented, and this book explores the extension of this system with the use of fuzzy logic to demonstrate an initial implementation of an autonomous, adaptive, and context aware multimodal system. This work also discusses the challenges presented with regard to testing such a system, the limitations with many current audiovisual speech corpora, and discusses a suitable approach towards development of a corpus designed to test this novel, cognitively inspired, speech filtering system.
    電子資源: http://dx.doi.org/10.1007/978-3-319-13509-0
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