illiberal

精品项目网 2024-05-18 06:35:11

基本释义:

无教养的

网络释义

1)illiberal,无教养的

2)unbred,无教养的

3)Nan Wu Religion,南无教

4)churchless,无教堂的

5)non-material teaching,无教材教学

6)"Give instruction anytime and anywhere,无教而无不教

7)three-no-educational theory,“三无”教育理论

8)driving without an instructor,无教员而驾驶

9)unsupervised speaker adaptation,无教师说话人自适应

10)unsupervised speaker adaptation,无教师讲者自适应

用法和例句

The Chinese Baojuan of " Shou Jin Bao Juan", wrote by folk actors in Nan Wu Religion in late Ming Dynasty, talked about family ethics and Buddhism retribution.

《佛说王忠庆大失散手巾宝卷》讲唱家庭伦理和因果报应,由明末南无教教团中的民间艺人编写。

This paper introduces the information literacy and information literacy education, expounds the necessity of implementing the non-material teaching in university, and taking Guangdong Ocean University as the example, probes into the scheme of implementing the non-material teaching in university.

介绍了信息素养及信息素养教育,阐述了高校实施无教材教学的必要性,以广东海洋大学为例,就高校实施无教材教学的方案进行了探讨。

The Exploration of the "Give instruction anytime and anywhere;

“无教而无不教”道德教育思想探索

We propose a new speech recognition method by the integration of the VQ, HMM and an unsupervised speaker adaptation algorithm, it complies a VQ distortion measure at each state instead of a discrete output probability used by a discrete HMM, and uses an adaptive VQ algorithm to alter the codewords for speaker adaptation.

提出了一种新的语音识别方法 ,该方法综合了VQ ,HMM和无教师说话人自适应算法的优点 。

We proposed a new speech recognition method by the integration of the VQ,HMM and an unsupervised speaker adaptation algorithm,it comply a VQ-distortion measure at each state instead of a output probability used by a traditional HMM,and uses an fuzzy adaptive VQ algorithm to alter the codewords for speaker adaptation.

本文提出了一种新的语音识别方法 ,它综合了VQ、HMM和无教师说话人自适应算法的优点 ,在每个状态通过用矢量量化误差值取代传统HMM的输出概率值来建立FVQ/HMM ,同时采用基于模糊矢量量化的无教师自适应算法 ,来改变FVQ/HMM的各状态的码字 ,从而实现对未知说话人的码本适应 。

Aiming at Chinese continuous speech recognition, a novel unsupervised speaker adaptation method based on maximum a posteriori algorithm is presented in this paper, together with a simple effective formula which can give a satisfying result with only a few data.

提出了一种基于MAP算法的连续语音识别无教师讲者自适应方法,给出了简单有效的渐进自适应公式。

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