| 基于MAP算法的无教师讲者自适应的研究 |
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| 引用本文： | 赵力,邹采荣,吴镇扬.基于MAP算法的无教师讲者自适应的研究[J].应用科学学报,2003,21(4):353-356. |
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| 作者姓名： | 赵力 邹采荣 吴镇扬 |
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| 作者单位： | 东南大学无线电工程系 江苏 南京 210096 |
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| 基金项目： | 国家自然科学基金资助项目(60272044) |
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| 摘 要： | 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.通过识别实验结果表明,提出的方法能利用少量的自适应数据达到满意的学习效果,是一种实用和有效的讲者自适应方法.
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| 关 键 词： | 无教师讲者自适应 汉语连续语音识别 MAP算法 |
| 文章编号： | 0255-8297(2003)04-0353-04 |
| 收稿时间： | 2002-09-11 |
| 修稿时间： | 2003-03-25 |
A Study on the Chinese Continuous Speech Recognition Unsupervised Speaker Adaptation Based on Maximum a Posteriori Algorithm |
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| ZHAO Li,ZOU Cai-rong,WU Zhen-yang.A Study on the Chinese Continuous Speech Recognition Unsupervised Speaker Adaptation Based on Maximum a Posteriori Algorithm[J].Journal of Applied Sciences,2003,21(4):353-356. |
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| Authors: | ZHAO Li ZOU Cai-rong WU Zhen-yang |
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| Institution: | Department of Radio Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | 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. It has been proved to be an effective method to apply. |
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| Keywords: | recognition of Chinese continuous speech unsupervised speaker adaptation maximum a posteriori algorithm |
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