Research And Implementation Of Connected Digit Speech Recognition System

With the development of the computer and information technology, the speech interaction is an essential human-computer interaction means mutually. The speech recognition technology is one of the most important directions of computer technology. The speech recognition has been developed as an integrated theory, on the other hand the speech recogniton systems run on the PC have been developed so well and have gotten some success. Although the basic theory of speech recognition is quite perfect and lots of commercial applications are successful, there is not any universal system can adapt to all applications because of the variaty of the speech. So, we ofen have to develop the system specially for an application in the field.Firstly, this paper introduces the development of speech recognition and the difficulties we faced in speech recogintion of chinese connected digits, elucidates the background and significance of the research. It describes the digital models of speech, endpoint detection, feature extraction in the process of speech recognition, and chooses the arithmatics and models of the application system.In this paper, we choose HMM (Hidden Markov Model), design and implement the system on the basis of HTK (Hidden Markov Model ToolKit) according to the characters of the speech of remote broadcasted. This paper describes the techique difficulties and solutions in three phases: speech gathering, speech recognition and auto plotting. First, adopting the speech auto overlapping technique to decrease wrong separating rate and increase recognition accuracy will be presented. Second, modeling and recognizing the digital signal and code seperately. Third, discussing the partition of the digital cluster, the storage of the data point of fligt path, and the skyway simulation by cubic spline interpolating.Finally, this article concludes the system and prospects of the future works of Speech Recognition and Skyway Simulation System.