基于自适应语音增强的算法研究与MATLAB仿真(6)

只适应滤波算法

Speech is inevitably interfered by noise. The noise not only degrades the quality and the intelligibility of speech, but also worsens the capability of the system. As speech enhancement technology can be used to reduce the noise, Improve anti-noise ability and the signal-to-noise ratio of the input signal , the input Signal-to-Noise Ratio of the speech processing system and improving the quality and intelligibility of speech, speech enhancement technology is usually used as the pre-processing module in the speech processing system.

This paper first from speech characteristics, noise characteristics, the perception of the human ear characteristics and method of speech signal analysis, Focus on the based on the spectral subtraction enhancement algorithm and in the MATLAB environment of the simulation, Verify the spectral subtraction speech enhancement in the effectiveness and feasibility.

DSP as special digital signal processor, has some unique features, such as Single-cycle multiply and accumulate (MAC)，multiple accessing memories in single cycle,a wide variety of on-chip peripherals. These features lead DSP applied widely in digital speech processing field. This paper studies the traditional Spectral Subtraction and improves it to reduce “music noise”. Then based on these theories, a practical speech enhancement processing system on DSP is designed and implemented.

KEY WORDS: noise, speech enhancement, Adaptive filtering method, LMS

Algorithm, Spectral Subtraction, DSP