Study On The Key Techniques Of Speaker-Independent Isolated Words Speech Recognition System

Recently, with the development of the speech recognition system, in the research field on small vocabulary speech recognition system, some algorithms have been successfully applied. As the development of FPGA technique, the computing ability of chip increases at a very fast speed. Choosing a scheme which is compatible for the implementation FPGA is becoming a more and more important topic. This thesis systemically studies various techniques which are related to small vocabulary speech recognition system. Then a practical scheme which is compatible for the implement of small vocabulary speaker-independent isolated words speech recognition system on FPGA is proposed.The work included in this thesis can be divided into the following 5 parts:1. Design and create a speaker-name database and managing system for training and testing.2. Introduce the DTW and HMM speech recognition systems, and realize a name-speech recognition system by two methods. And also analyze the system characteristic in detail.3. Bring forward the state transition method to reduce the affection of noise. And also discuss the contribution of each MFCC weight for the speech recognition system. Improve on the technique of sex recognition.4. Discuss the key techniques, such as: use iterative memory space on the realization of data processing of real-time hardware and end-point detection; according to the character of MFCC algorithm, get fast fitted MFCC algorithm.5. Do experiment and analyze each key parameter, design small vocabulary speech recognition system, and get balance between correct recognition rate and system complexity.