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The Scientific World Journal
Volume 2014, Article ID 146040, 12 pages
http://dx.doi.org/10.1155/2014/146040
Research Article

Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting

1Department of Biomicrosystem Technology, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Republic of Korea
2School of Computer Science Engineering, Incheon National University, Songdo-dong, Yeonsu-gu, Incheon 406-772, Republic of Korea
3Office of Naval Research, Arlington, VA 22203, USA
4School of Electrical Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Republic of Korea

Received 7 February 2014; Revised 4 July 2014; Accepted 10 July 2014; Published 6 August 2014

Academic Editor: Juan Manuel Gorriz Saez

Copyright © 2014 Jinsoo Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Hao Gu, Kai Yu, and Sibo Tong, “A comparative study of robustness of deep learning approaches for VAD,” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2016-, pp. 5695–5699, 2016. View at Publisher · View at Google Scholar
  • Yu-Bo Zhang, and Li-Zhao Xing, “Algorithm of speech endpoint detection based on wavelet analysis and PSO-ELM,” Zhongbei Daxue Xuebao (Ziran Kexue Ban)/Journal of North University of China (Natural Science Edition), vol. 37, no. 1, pp. 33–38, 2016. View at Publisher · View at Google Scholar
  • Frédéric Roux, Blair C. Armstrong, and Manuel Carreiras, “Chronset: An automated tool for detecting speech onset,” Behavior Research Methods, 2016. View at Publisher · View at Google Scholar