In this paper, a new statistic model named Center-Distance Continuous Probability Model (CDCPM) for speech recognition is described, which is based on Center-Distance Normal (CDN) distribution. In a CDCPM, the probabi...In this paper, a new statistic model named Center-Distance Continuous Probability Model (CDCPM) for speech recognition is described, which is based on Center-Distance Normal (CDN) distribution. In a CDCPM, the probability transition matrix is omitted, and the observation probability density function (PDF) in each state is in the form of embedded multiple-model (EMM) based on the Nearest Neighbour rule. The experimental results on two giant real-world Chinese speech databases and a real-world continuous-manner 2000 phrase system show that this model is a powerful one. Also,a distance measure for CDCPMs is proposed which is based on the Bayesian minimum classification error (MCE) discrimination.展开更多
This paper solves the recognition problems of the Vowel Consonant and efficiency syllable of Uighurspeech, which is based on the Center-Distance Continuance Probability Model and Uighur speech database. And it an-alyz...This paper solves the recognition problems of the Vowel Consonant and efficiency syllable of Uighurspeech, which is based on the Center-Distance Continuance Probability Model and Uighur speech database. And it an-alyzes the result of recognition,brings forward the rationality that Uighur syllable is used as the base element ofrecognition and the difficulties we find in this study. This paper also gives the method of how to solve these problems.展开更多
文摘In this paper, a new statistic model named Center-Distance Continuous Probability Model (CDCPM) for speech recognition is described, which is based on Center-Distance Normal (CDN) distribution. In a CDCPM, the probability transition matrix is omitted, and the observation probability density function (PDF) in each state is in the form of embedded multiple-model (EMM) based on the Nearest Neighbour rule. The experimental results on two giant real-world Chinese speech databases and a real-world continuous-manner 2000 phrase system show that this model is a powerful one. Also,a distance measure for CDCPMs is proposed which is based on the Bayesian minimum classification error (MCE) discrimination.
文摘This paper solves the recognition problems of the Vowel Consonant and efficiency syllable of Uighurspeech, which is based on the Center-Distance Continuance Probability Model and Uighur speech database. And it an-alyzes the result of recognition,brings forward the rationality that Uighur syllable is used as the base element ofrecognition and the difficulties we find in this study. This paper also gives the method of how to solve these problems.
