Dynamic–static unsupervised sequentiality, statistical subunits and lexicon for sign language recognition
作者:
Highlights:
• A phonetic modeling approach for unsupervised sequentiality of dynamic-static SUs.
• Model based sign segmentation and subunit modeling with HMMs.
• Construction of a sign-to-subunits data-driven lexicon.
• Comparison of different signers' pronunciations and unseen signer pronunciation compensation.
• Evaluation on data from three corpora, two sign languages and unseen signers.
摘要
•A phonetic modeling approach for unsupervised sequentiality of dynamic-static SUs.•Model based sign segmentation and subunit modeling with HMMs.•Construction of a sign-to-subunits data-driven lexicon.•Comparison of different signers' pronunciations and unseen signer pronunciation compensation.•Evaluation on data from three corpora, two sign languages and unseen signers.
论文关键词:Automatic sign language recognition,Data-driven subunits,Sub-sign phonetic modeling,Unsupervised,Segmentation,HMM
论文评审过程:Received 22 May 2013, Revised 27 March 2014, Accepted 30 April 2014, Available online 9 May 2014.
论文官网地址:https://doi.org/10.1016/j.imavis.2014.04.012