An Adaptive Wind Noise Reduction Method Based on a priori SNR Estimation for Speech Eenhancement

음성 강화를 위한 a priori SNR 추정기반 적응 바람소리 저감 방법

  • Seo, Ji-Hun (Dept. of Computer science, Sangmyung University) ;
  • Lee, Seok-Pil (Dept. of Media software, Sangmyung University)
  • Received : 2015.11.02
  • Accepted : 2015.11.27
  • Published : 2015.12.01


This paper focuses on a priori signal to noise ratio (SNR) estimation method for the speech enhancement. There are many researches for speech enhancement with several ambient noise cancellation methods. The method based on spectral subtraction (SS) which is widely used in noise reduction has a trade-off between the performance and the distortion of the signals. So the need of adaptive method like an estimated a priori SNR being able to making a high performance and low distortion is increasing. The decision directed (DD) approach is used to determine a priori SNR in noisy speech signals. A priori SNR is estimated by using only the magnitude components and consequently follows a posteriori SNR with one frame delay. We propose a modified a priori SNR estimator and the weighted rational transfer function for speech enhancement with wind noises. The experimental result shows the performance of our proposed estimator is better Perceptual Evaluation of Speech Quality scores (PESQ, ITU-T P.862) compare to the conventional DD approach-based systems and different noise reduction methods.


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