Using a new video-based training system, viewers with very limited training significantly improved their ability to lip-read monosyllabic words, which in itself is a very difficult task.
利用新的视频训练系统,观唇者们只能得到有限的训练来显著提高他们的单音节单词唇读能力,这是一个非常困难的任务。
They found that the automated system significantly outperformed the human lip-readers –scoring a recognition rate of 80 per cent, compared with only 32 per cent for human viewers on the same task.
他们发现自动化系统明显优于读唇者们,较之后者32%的准确率,前者完成同样任务的准确率达到80%。
Experiments also prove that the features of blocks DCT coefficients in lip region are efficacious to visual single channel lipreading system.
实验还证明了系统中分块的唇区dct特征对的视觉单通道唇读系统是最有效的。
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