1) Confusion network generation
混淆网络生成
2) confusion network
混淆网络
1.
One method of MBR de- coding is that the word lattice can be transformed into confusion network in order to achieve the recognition result with minimum WER.
在汉语大词汇量连续语音识别中,以往基于最大后验概率准则解码得到的识别结果具有最小的句子错误率,为了得到字错误率最小的识别结果,可以采用最小贝叶斯风险解码策略,通过将识别输出的word lattice转换成为混淆网络以得到最小字错误率的识别结果。
2.
To obtain recognition results with minimum word error rate in mandarin large vocabulary continuous speech recognition,a Chinese character confusion network algorithm is presented on the characteristics of Chinese language.
为了使识别结果具有最小字错误率,在充分考虑汉语语言特点的基础上,提出了一种汉字混淆网络算法。
3) multi-features confusion network
多特征混淆网络
4) Phoneme confusion network
音素混淆网络
5) spanning network
生成网络
1.
A network N = (V, E) is called a Steiner network on P if P V, and particularly a spanning network on P if P = V.
特别地,如果V=P,则称N为P的生成网络。
6) network generation
网络生成
补充资料：玉石混淆
1.比喻好坏混杂。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条