基于应隐马尔科夫模型的词性标注实现，Viterbi算法实现 -Should be based on hidden Markov models to achieve part of speech tagging, Viterbi algorithm

语音辨识 单音节字语音辨识 基于隐马尔科夫的语音辨识 内含语音数据-Voice Recognition monosyllabic word speech recognition Hidden Markov speech recognition-based voice and data contents

通过规定转移概率，构造的隐马尔可夫信道状态转移，生成接受序列，接收端接收到的接受序列(By specifying the transition probability, the state transition of the hidden Markov channel is constructed, and the receiving sequence is generated. The receiving sequence is received by the receiving end.)