Investigations of HMM-Based Speech Recognition Technology

Chunhao Huang, Zhiyuan Zhu, Jing Guo
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Abstract

We are in an era of informatization and big data. In this context, speech data are increasing and becoming more and more frequently used. When we choose and use a lot of speech information on the Internet, speech recognition technology shows its great importance. In this paper, by studying speech signal preprocessing, HMM model, MFCC feature parameter extraction and other technologies, a speech recognition algorithm based on HMM is derived to achieve a more accurate result of speech words and phrases.
基于hmm的语音识别技术研究
我们正处于信息化和大数据时代。在这种背景下,语音数据不断增加,使用频率也越来越高。当我们在互联网上选择和使用大量的语音信息时,语音识别技术显示出它的重要性。本文通过对语音信号预处理、HMM模型、MFCC特征参数提取等技术的研究,推导出了一种基于HMM的语音识别算法,以获得更准确的语音单词和短语结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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