基于DDBHMM的维吾尔语音声学识别  

Uyghur Speech Acoustics Recognition Based on DDBHMM

作　　者：王飞飞[1] 吾守尔.斯拉木 那斯尔江.吐尔逊 

机构地区：[1]新疆大学信息科学与工程学院,乌鲁木齐830046 [2]新疆大学数学与系统科学学院,乌鲁木齐830046 [3]西安交通大学电子与信息工程学院,西安710049

出　　处：《计算机工程》2011年第2期197-199,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60762006;60863008);国家语委基金资助重点项目(MZ115-75)

摘　　要：在维吾尔语连续语音识别试验的声学层建模基础上,引用DDBHMM模型将上下文相关的三音子作为基本识别单元,并提出一种状态绑定的思想,对状态进行优化。为得到更充分的训练模型,提高识别效率,对语料库进行扩充,在多组对比试验的基础上,分析扩充前后对声学层识别速度、准确率等各个方面的影响。DDBHMM（Duration Distribution Based HMM） is adopted as the acoustic model for Uyghur continuous speech recognition, and the context-dependent triphone model is selected as the best recognition unit, the Uyghur speech recognition system is optimised by using the state-binding method. In order to make the models be trained more sufficiently to improve the recognition performance, the corpus is enlarged, the emphasis is on analysis of the effect that the speech database＇s enlargement brings to the recognition rate and accuracy and so on based on several groups of contrasted experiments.

关 键 词：语料库 维吾尔语 DDBHMM模型理论 三音子 

分 类 号：N945[自然科学总论—系统科学]