Using this model , together with some necessary post-process work, it can synthesize smooth, realistic face speech animation independent of classification of language only with speech signal.
使用该模型,加上一些必要的后期处理工作,就可以通过输入的语音信号合成语种无关的、平滑的、并富有真实感的人脸语音动画。
参考来源 - 一个基于改进的HMM的人脸语音动画合成系统 in C·2,447,543篇论文数据,部分数据来源于NoteExpress
本文给出了一个具有视觉跟踪的中英文语音动画系统的实现过程。
This paper presents a Chinese and English speech animation system with visual tracking.
利用HMM的统计特性,对HMM模型结构进行改动,使其成为人脸语音动画合成中语音特征到图像特征的映射模型。
This paper takes advantage of HMM's statistic characters. With a little modification on HMM structure, it gets a mapping model from speech to image.
使用该模型,加上一些必要的后期处理工作,就可以通过输入的语音信号合成语种无关的、平滑的、并富有真实感的人脸语音动画。
Using this model, together with some necessary post-process work, it can synthesize smooth, realistic face speech animation independent of classification of language only with speech signal.
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