摘要
探讨了离散马尔可夫模型的基本原理及在孤立词识别中的应用,并且实现了一个文本有关的孤立词识别系统,其正确识别率达到96.3%。
This paper presents the basic principle and application in isolated speech recognition system based on discrete HMM, and realizes an isolated speech recognition system with text, its rate of correctness is up to 96.3%.
出处
《信息技术》
2006年第1期83-84,共2页
Information Technology
关键词
隐马尔可夫模型
MEL频率倒谱系数
矢量量化
语音识别
hidden Markov model （HMM）
Mel - frequency cepstral coefficient
vector quantization
speech recognition
