Dissertation > Excellent graduate degree dissertation topics show

Research on Speech Recognition System Base on Dynamically Adapting Environment Endpoint Detection

Author: ChenPengFei
Tutor: LiaoChuanShu
School: Wuhan University of Technology
Course: Communication and Information System
Keywords: Speech Recognition Endpoint Detection GMM Adaptive
CLC: TN912.34
Type: Master's thesis
Year: 2009
Downloads: 130
Quote: 1
Read: Download Dissertation

Abstract


Speech signal is the essential medium of information transmission and emotion intercourse, and apperceive of human acoustical apparatus to sound and liberation. It is also the most important, efficient, common, and convenient tools for human communications. Speech Signal Processing is one of the booming information science subjects, which refer to many fields of science. Endpoint Detection is one of the most important part in a speech recognition system. Efficient Endpoint Detection is able to increase system processing speed, enhance system real-time concurrence, avoid disturbance from noise and mute section, and enhance the recognition performance. Nowadays, most of the endpoint detection algorithms can not perform well under a low SNR.Endpoint Detection is a key technique in Speech Recognition. Nowadays most kinds of Endpoint Detection algorithm perform well in the environments of high Signal-to-Noise(SNR), but they all perform worse while SNR is reducing which could not adapt the complicated out-door environment with mess of noise. For the random city of White Gaussian Noise in outdoor environments, it is advanced to use GMM to describe the White Gaussian Noise in our common environments. By the investigation of GMM and noises, it is advanced that the Endpoint Detection algorithm basing on GMM, and the flow of the algorithm is expatiated in detail. And the algorithms of each module in a Speech Recognition are investigated and improved, including Speech Enhancing, Feature Extraction and Template Matching. Then it designed all of the modules and designed a integrated Speech Recognition system which would automatically adapt the change of environments.The system is achieved to the recognition of single word in complicated environment, and update by itself according to the environment change. However, its study speed is limited for the amount of calculation, which needs to be improved.

Related Dissertations

  1. Design and Research on Stabilization Loop of Gyro Stabilized Pod Control System,V241.5
  2. Robust Adaptive Control Algorithms Research for the System of Spacecraft Attitude Dynamics,V448.22
  3. Multiple ANN/HMM Hybrid Used in Speech Recognition,TN912.34
  4. The Design of a DSP-Based Robot Speech Command Recgnition System,TN912.34
  5. Research on Spread Spectrum Code Acquisition of Double Threshold Based on Sliding Correlator,TN914.42
  6. Study of Synchronization and Adaptive Frequency in Frequency-Hopping System,TN914.41
  7. The Technology Research on Channel Coding and Channel Estimation in MC-CDMA Systems,TN929.533
  8. Study on Nonlinear Variable Structure Guidance Law,TJ765
  9. Optimal Synchronization Control of a Class of Underactuated Lagrangian Systems,TP13
  10. Application and Research of Dual Control in Vertical Landing Aircraft,TP273
  11. Design of Gyro Stabilized Pod Control System,TP273
  12. Study on Adaptive Fuzzy Control Algorithm and Its Implementation,TP273.4
  13. The Design and Research of Health Management Based on Smartphone Environment,TN929.53
  14. Active Power Filter and Its Application in Distribution Network,TN713.8
  15. The Design of Isolated Word Recognation Based on ARM9,TN912.34
  16. A Research on Speech Recognition Technology,TN912.34
  17. The Analysis and Improvement of TCP Vegas Performance in MANET,TN929.5
  18. Algorithm Research for Robot Trajectory Tracking Control,TP242
  19. Discussion on a New Test of Conventional Asymptotics in GMM,O212.1
  20. The Research and System Design of Assessment Model for Network Learning Based on Intelligent Computation,TP18
  21. Research on QM-order Slabs Matching Problem and Load Allocation Problem in Hot Strip Mill,TF089

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing > Speech Recognition and equipment
© 2012 www.DissertationTopic.Net  Mobile