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The Scientific World Journal
Volume 2013, Article ID 634160, 11 pages
http://dx.doi.org/10.1155/2013/634160
Research Article

New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition

1Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada K7L 3N6
2Department of Electrical Engineering, Amirkabir University of Technology, Tehran 15914, Iran

Received 5 September 2013; Accepted 11 November 2013

Academic Editors: N. M. Kwok and L. Yuan

Copyright © 2013 Sanaz Seyedin 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.

  • Sanaz Seyedin, Saeed Gazor, and Seyed Mohammad Ahadi, “On the distribution of Mel-filtered log-spectrum of speech in additive noise,” Speech Communication, vol. 67, pp. 8–25, 2015. View at Publisher · View at Google Scholar
  • Hamed Riazati Seresht, Seyed Mohammad Ahadi, and Sanaz Seyedin, “Spectro-temporal Power Spectrum Features for Noise Robust ASR,” Circuits, Systems, and Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Gholamreza Farahani, “Autocorrelation-based noise subtraction method with smoothing, overestimation, energy, and cepstral mean and variance normalization for noisy speech recognition,” EURASIP Journal on Audio, Speech, and Music Processing, vol. 2017, no. 1, 2017. View at Publisher · View at Google Scholar