Noise Reduction of Bird Calls Based on a Combination of Spectral Subtraction, Wiener Filtering, and Kalman Filtering

Speechis a channel of communication for birds, and by analyzing bird calls, biologists can obtain much important biological information. However, in the speech recognition process, there is inevitably the influence of environmental noise. However, the recognition rate in the presence of ambient noise is not yet satisfactory, so strengthening the noise immunity is a problem that needs further research and solution in the speech recognition process. This paper proposes a bird call noise reduction method based on a combination of spectral subtraction, Wiener filtering, and Kalman filtering to enhance the noisy speech information. In this paper, through white noise addition and using three methods of independent use and combined into one filter use, through the listening side, image analysis, signal-to-noise ratio, and coherence analysis of out, the noise reduction effect is very significant, and can be applied to the background noise filtering of the real environment in practice, for human understanding of bird habits a step further.