On a pragmatic speech recognition system, in order to make the recognition accuracy as high as possible, syntax constraint can be used.
在实用语音识别系统中,为了尽可能提高识别准确度,可以借助词语间的约束关系来辅助话句的判识。
A new calibration method using orientation constraint is presented to improve the accuracy of parallel robots.
为了提高并联机器人运动精度,提出了一种利用姿态约束的运动学标定方法。
Experimental results on a range of datasets show that our approach improves duplicate accuracy significantly over traditional techniques and has a good ability of noise data constraint.
在不同领域的数据集上的实验结果表明,该方法能够提高重复记录检测的精度,且具有良好的噪声数据抑制能力。
应用推荐