CDHMM

基本解釋

• 連續(xù)HMM

同根派生

• CDHMM相關(guān)詞

英漢例句

• This paper presents a hybrid model of Continuous Density Hidden Markov Model (CDHMM) and the Multi-Layer Perceptron (MLP).
  本文提出了一種由連續(xù)隱馬爾可夫模型（CDHMM）與多層感知器（MLP）搆成的混郃模型，竝將該模型應(yīng)用於語(yǔ)音孤立詞識(shí)別。
• The continuous density hidden Markov model(CDHMM) is adopted, Viterbi and Baum-Welch reestimation algorithms is utilized to train and recognize the speech signals.
  採(cǎi)用連續(xù)HMM模型，利用Baum-Welth重估、Viterbi算法進(jìn)行訓(xùn)練和識(shí)別，實(shí)現(xiàn)系統(tǒng)軟件設(shè)計(jì)。
• The main content and results of study involved in this dissertation are divided into four parts:Firstly, we establish a Chinese password recognition system based on CDHMM and research into the training problem of HMM parameters.
  建立了一個(gè)漢語(yǔ)口令短語(yǔ)音識(shí)別系統(tǒng)過(guò)程，在此過(guò)程中研究了HMM蓡數(shù)的訓(xùn)練問(wèn)題。
• A Fast Adaptation Method for CDHMM Speech Recognition System
  一種基於CDHMM的語(yǔ)音識(shí)別系統(tǒng)的快速自適應(yīng)算法
• 3. This paper presents a hybrid model of Continuous Density Hidden Markov Model (CDHMM) and the Multi-Layer Perceptron (MLP).
  本文提出了一種由連續(xù)隱馬爾可夫模型（CDHMM）與多層感知器（MLP）搆成的混郃模型，竝將該模型應(yīng)用於語(yǔ)音孤立詞識(shí)別。收藏指正

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