ISCAS OpenIR  > 人机交互技术与智能信息处理实验室
crossmodal error correction of continuous handwriting recognition by speech
Ao Xiang; Wang Xugang; Tian Feng; Dai Guozhong; Wang Hongan
2010-07-28
Conference Name12th International Conference on Intelligent User Interfaces, IUI 2007
Pages243-250
Conference Date2007-01-28
Conference PlaceHonolulu, HI, United states
Indexed Type其他
Department人机交互技术与智能信息处理实验室
English AbstractIn recognition-based user interface, users’ satisfaction is determined not only by recognition accuracy but also by effort to correct recognition errors. In this paper, we introduce a crossmodal error correction technique, which allows users to correct errors of Chinese handwriting recognition by speech. The focus of the paper is a multimodal fusion algorithm supporting the crossmodal error correction. By fusing handwriting and speech recognition, the algorithm can correct errors in both character extraction and recognition of handwriting. The experimental result indicates that the algorithm is effective and efficient. Moreover, the evaluation also shows the correction technique can help users to correct errors in handwriting recognition more efficiently than the other two error correction techniques.
KeywordError Correction
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/3033
Collection人机交互技术与智能信息处理实验室
Recommended Citation
GB/T 7714
Ao Xiang,Wang Xugang,Tian Feng,et al. crossmodal error correction of continuous handwriting recognition by speech[C],2010:243-250.
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