Abstract:
This paper describes a technique for synthesizing audio-visual speech based on HMM. The experiment "Lip movement synthesis" use VC++ and HTK toolkit. In the training stag...Show MoreMetadata
Abstract:
This paper describes a technique for synthesizing audio-visual speech based on HMM. The experiment "Lip movement synthesis" use VC++ and HTK toolkit. In the training stage, Japanese words will be change to text from the image sequence from using hidden Markov model (HMM). Experimental results show that the synthetic lip image sequence is smooth and realistic. This research was supported by NSFC, China (Grant No.60374032).
Published in: 2005 International Conference on Natural Language Processing and Knowledge Engineering
Date of Conference: 30 October 2005 - 01 November 2005
Date Added to IEEE Xplore: 27 February 2006
Print ISBN:0-7803-9361-9
References is not available for this document.
Contents References is not available for this document.
