isolated word recognition meaning in Chinese
孤立字的识别
孤立字识别
Examples
- Study of isolated word recognition based on hmm
基于隐马尔可夫模型的语音单字识别研究 - Isolated words recognition experiment based on dtw shows : this method is o . k . in automatic detection of speech terminal and extraction of speech feature ; and achieves very satisfying recognition rate
实验结果表明：该法在噪声环境下自动检测语音端点和提取语音信号的特征是可行的，获得了很满意的识别率。 - One is using the autocorrelation function to detect the speech terminal , the other is using the coefficients based on the one - sided autocorrelation sequence to replace the original speech signal and then extract the speech feature to recognize . isolated word recognition experiment based on dtw shows : it can reduce the disturbance of noise effectively and get the high recognition rate . it is of great advantage to apply when snr signal to noise rate is low
对含噪语音在自相关域上进行处理，以其自相关函数值为参数进行端点检测，以基于单边自相关序列的lpc倒谱系数作为语音的特征参数进行语音识别，实验表明：这种方法较好地消除了噪声对语音信号的干扰，并获得了较高的识别率。 - 3 . then comes the whole structure and frame of our isolated word recognition system , including speech acoustic analyzing 、 feature extraction 、 acoustic modeling and recognition strategy in hmm , at the end of this chapter we get the result of isolated word recognition system .
3 .从语音信号处理分析出发,在hmm的理论基础上,阐述了本文所研究的孤立词语音识别系统的基本框架和组成部分,包括声学分析、特征提取、孤立词声学建模、训练识别以及最终的孤立词系统识别结果。