Research On Speech Enhancement Algorithm Based On TMS320C55x DSP

Speech Enhancement is the most important part of speech signal processing. It is also an important pretreatment technology of speech coding, speech recognition and speech synthesis. With the development of mobile speech and man-machine conversation technology, the research and application of speech enhancement becomes a significant aspect. High Speed Digital Signal Processor (DSP) developed in recent years is specially designed for algorithms of digital signal processing. Nowadays, it is widely used in many fields such as communications, speech processing, video processing, etc.. This essay focuses on the research and real-time implementation of speech enhancement algorithms on speech processing platform, while it takes the project of "Speech Processing Platform based on DSP"as background. This essay begins with the basic theory of adaptive filter. And then the principium of Mean Square Error and the normalized Recursive Least Square (RLS) are studied. After that, two speech enhancement algorithms based on RLS are presented: noise cancellation system based on RLS, and Cumulant based RLS (CRLS) algorithm. Thirdly, the characters of TI's TMS320C55x and development flow are introduced, and the two algorithms are simplified and optimized implemented on the platform. At last, the detailed tests on the noise cancellation performance and real-time capability are presented. It is proved that the two algorithms can both match the request of system, but either of them has its strong point on the real-time capability and noise cancellation performance. How to choose an appropriate algorithm depends on practical requests.