隐马尔可夫模型(hidden Markov model,HMM)是一类统计模型,经典理论于20世纪60年代末70年代初由L.E.Baum等提出,20世纪70年代中期开始应用于语音识别领域。目前被广泛应用于基因关联分析和基因识别、图像识别、孤立词识别和目标 The hidden Markov model (HMM) is a kind of statistical model. The classical theory was proposed by L. E. Baum et al. In the late 1960s and the early 1970s and used in the field of speech recognition since the mid 1970s. It is widely used in gene association analysis and gene recognition, image recognition, isolated word recognition and target