节点文献
基于MAP算法的无教师讲者自适应的研究
A Study on the Chinese Continuous Speech Recognition Unsupervised Speaker Adaptation Based on Maximum a Posteriori Algorithm
【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.
【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.
【关键词】 汉语连续语音识别;
无教师讲者自适应;
MAP算法;
【Key words】 recognition of Chinese continuous speech; unsupervised speaker adaptation; maximum a posteriori algorithm;
【Key words】 recognition of Chinese continuous speech; unsupervised speaker adaptation; maximum a posteriori algorithm;
【基金】 国家自然科学基金资助项目(60272044)
- 【文献出处】 应用科学学报 ,Journal of Applied Sciences , 编辑部邮箱 ,2003年04期
- 【分类号】TN912.3
- 【被引频次】1
- 【下载频次】65