Earticle

초록

영어

Most of the noise in speech communication lines can be considered as Gaussian white noise. Voice activity detection (VAD) in noisy environment is an important process in many speech signal processing algorithms. Unlike the other VAD algorithms, this paper proposes a simple and novel VAD algorithm based on the probability distribution function (PDF) of FFT magnitudes of both clean speech and Gaussian white noise. When the signal-to-noise ratio (SNR) is high enough, the method using Gamma distribution to detect the speech performs well, while the method using Rayleigh distribution under lower SNR can be complementary. In addition, the threshold to determine which method to use is presented based on the tests under different SNR. Simulation results show that the proposed algorithm is efficient. Both the hardware and software of a low cost system for VAD are introduced, with the proposed algorithm achieved in a digital signal processor (DSP). Each detection takes on less than 100 ms, which can be used for real-time processing.

목차

Abstract
 1. Introduction
 2. Proposed Method for VAD
  2.1. VAD Using Gamma Distribution
  2.2 VAD Using Rayleigh Distribution
  2.3. VAD Using the Both Gamma and Rayleigh Distribution
 3. Implementation of the Proposed Method
  3.1. Design of Hardware Architecture
  3.2. Software Design and Implementation
 4. Remarks and Conclusions
 Acknowledgements
 References

키워드

저자

• Xincheng Gao [ School of Aeronautic & Astronautics, Laboratory of Aerial Robotics, University of Electronic Science and Technology of China, Chengdu, P.R.China ]
• Houbin Cao [ School of Aeronautic & Astronautics, University of Electronic Science and Technology of China, Chengdu, P.R.China ]
• Jianfeng Zhang [ School of Aeronautic & Astronautics, Laboratory of Aerial Robotics, University of Electronic Science and Technology of China, Chengdu, P.R.China ]
• Jinping Bai [ School of Aeronautic & Astronautics, Laboratory of Aerial Robotics, University of Electronic Science and Technology of China, Chengdu, P.R.China ]
• Tianhang Zhang [ School of Aeronautic & Astronautics, University of Electronic Science and Technology of China, Chengdu, P.R.China ]
• Lihong Jia [ School of Aeronautic & Astronautics, University of Electronic Science and Technology of China, Chengdu, P.R.China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605