节点文献
基于能量的汉语语音音节自动划分方法的研究
Study of Energy-based Automatic Chinese Speech Syllable Partition Method
【摘要】 针对智能化计算机中汉语语音识别这一重要研究课题,利用小波分析方法,以神经网络为基础,提出了基于能量的汉语语音音节划分的自动实现的方法,这是实现汉语语音识别的基础和前提。
【Abstract】 To counter the problem of Chinese speech recognition as an important one for intellectualized computer by wavelet analysis and neural network theory a method of automatic realizing of energy-based Chinese speech syllable partition is given, which is the foundation and the precondition of realizing Chinese speech recognition.
【关键词】 音节;
短时过零区间;
短时能量;
语音识别;
【Key words】 syllable; short-time interval across zero; short-time energy; speech recognition;
【Key words】 syllable; short-time interval across zero; short-time energy; speech recognition;
【基金】 黑龙江省自然科学基金(900269)
- 【文献出处】 哈尔滨理工大学学报 ,Journal of Harbin University of Science and Technology , 编辑部邮箱 ,1999年06期
- 【分类号】TN912.3
- 【下载频次】57