摘要
本文针对语音识别中HMM模型需要大量训练 ,而在某些实际应用中不可能训练多次的问题 ,提出一种基于余弦整形变换的变帧率训练方法 ,并在人名声控拨号系统中进行实验 ,在训练一次的条件下 ,系统识别率提高 4.2 %。实验表明 。
In speech recognition HMM requires a large number of data for training,however,in some applications it is impractical.Therefore,a VFR training method based on pattern transform method with consine function is presented,in this paper,to solve this problem.We apply this original method to a voice control dialling system.System accuracy increases 4.2% on the condition of training just only one time.It isdemonstrated that this method has obvious effect on the scarcity of training data.
出处
《中文信息学报》
CSCD
北大核心
2001年第1期40-45,共6页
Journal of Chinese Information Processing
基金
高等学校骨干教师资助! ( 2 0 0 0 -65)
