Speech Recognition is a type of technology, which helps to transfer the speech signals into homogeneous text or command during the process of recognition and comprehension. Speech recognition technology is on the hot spots for its importance and difficulty in research recently. However, speech recognition based on PC drives to maturity stage theoretically and yields substantial results in practice. As the development of embedded technology, with the portability and changeability both in software and hardware, ARM provides speech recognition technology with a new research direction. Speech recognition based on ARM has been the emphasis and difficulty of speech recognition technology. However, the research level of embedded speech recognition is still immature now, which is the biggest obstacle of its marketization. Under this background, the dissertation does the improvement and optimization on currently available embedded speech recognition module based on ARM, which has been classified in theoretical analysis, speech recognition system’s hardware platform design, system’s software analysis and optimization respectively. 1、The dissertation introduces the development history and research status of speech recognition in detail; Gives the specific introduction about the basic principles and the main research methods of the speech recognition technology; two common mathematical models are derived, dynamic time warping and hidden markov model, as the basement for the further research of speech recognition. 2、The dissertation analyses and designs the general architecture for the system, mainly including the following two parts, speech recognition’s control system and speech signal input & output system. The dissertation introduces the function of each system as well as their relationship in detail. 3、In software optimization, the paper firstly presents problems of currently available embedded system. Then it proposes solution accordingly and gives their theoretical basis and experimental results. According to the experiments, the improving algorithms of system software can enhance system’s performance correspondingly, which exemplify the effectiveness of improving algorithms. In the end of the dissertation, rationalization proposals are given to future work.
修改评论