Dissertation > Excellent graduate degree dissertation topics show

Algorithm of Speech Enhancement Based on Auditory Masking and Implementation Based on DSP

Author: ZhangZuoRong
Tutor: MouHaiWei
School: Daqing Petroleum Institute
Course: Precision instruments and machinery
Keywords: Speech Enhancement Auditory masking Musical noise DSP
CLC: TN912.35
Type: Master's thesis
Year: 2010
Downloads: 77
Quote: 1
Read: Download Dissertation

Abstract


Actual environmental noise everywhere, ever-present, affecting the quality of the voice, especially in high-noise environments, the human ear can not distinguish between voice, not to extract useful information from the environment, noise pollution voice The enhancement processing is essential. The purpose of speech enhancement is to reduce the noise in the noisy speech to make it as close as possible to the pure voice, allowing the listener to receive voice reduce fatigue. In recent years, people give more and more attention to the voice enhancement technology, various speech enhancement method quietly rising. In this paper, based on the analysis of the speech and noise characteristics, detailed study of several commonly used voice enhancement algorithms (adaptive filtering method, the Wiener filter method and spectral subtraction and its improved algorithm). Simulation results, and analysis of the strengths and weaknesses of the various algorithms and causes, and focus on the analysis of spectral subtraction enhanced musical noise. For reducing musical noise problems, focusing on speech enhancement algorithm based on the auditory masking. The first analysis of the human hearing characteristics - frequency analysis of the characteristics and auditory masking. Several common principles of auditory masking model, and according to the characteristics of each model, this paper Johnston model for auditory masking threshold calculation. Then, in the study of the human ear characteristics and auditory masking model based on in-depth study based on spectral subtraction the auditory masking speech enhancement and based on the the auditory masking MMSE law enhanced algorithm principle, and these two algorithms were different background noise simulation environment. Found through the analysis of simulation results, due to the estimated error early voice masking threshold calculation error will result, thus affecting the overall enhancement algorithm, proposed in this paper improved speech enhancement algorithm based on the auditory masking. Noise real-time updates and analysis of multi-band method of combining voice early estimates of the algorithm, and then combine the auditory masking effect, take advantage of the early estimates voice masking threshold calculated spectral subtraction by masking threshold dynamically adjust parameters. Finally, the algorithm Matlab simulation, and a more comprehensive performance analysis and comparison of the simulation results. Part in the realization of the algorithm, the analysis of experiments with the structure and function of the main part of the hardware platform, system software design and programming of algorithms to verify the improved algorithm by Matlab simulation and debugging and through the CCS development environment. Finally, the program is downloaded to the development board ICETEK-VC5416-A successful run. Experimental results show that the algorithm can be improved while suppressing the background noise, effectively reduce musical noise, reduce the sense of auditory fatigue, and capable of real-time implementation.

Related Dissertations

  1. Design of Electronicalcontrol System for Electronic Jacquard Knitting Machine,TS183
  2. Research on the Integrated Grating Subdividing Digital Display Device Based on DSP,TH822
  3. Study on Two Dimensional of Auto-Collimator Based on DSP,TH741.14
  4. Study on the Control System for Automatic Aiming of HWIL Pitching Mechanism,TJ303
  5. Research on Synchronous Motor Excitation Control System,TM341
  6. The AES Algorithm and Its Implementation in DSP,TN918.1
  7. The Design of a DSP-Based Robot Speech Command Recgnition System,TN912.34
  8. Research on Signal Receiving System of Phase Laser Range Finder,TN249
  9. Study on Implementation Technology of Channel Estimation in OFDM System Based on DSP,TN919.3
  10. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  11. Voice Signal De-noise Base on Wavelet and Arithmetic Implement with DSP,TN912.3
  12. Research on Image Compression and Implementation Using TMS320C6713 Based on SPIHT Algorithm,TP391.41
  13. A Study on the Technology of the Infrared Image Matching,TP391.41
  14. Development of 3-Dimensional Scanning Probe Data Acquisition System Based on DSP,TP274.2
  15. Development of Vxibus Common Interface Module Based on DSP,TP274
  16. Research of Acoustic Signal Acquisition System Based on DSP,TP274.2
  17. Research of DSP-based Real-time Demodulation Method of One-frequency Laser Interferometer,TN911.3
  18. Laser alignment system posture measuring device developed,TN24
  19. ATV vehicle weapon control system,TP273
  20. Research on DSP-based Auto-focusing Systems,TP391.41
  21. Design of VoIP Gateway Based on DSP,TN916.2

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