Adaptive and iterative wiener filter for oriya speech processing applications

  • Authors:

  • Sanghamitra Mohanty;Basanta Kumar Swain

  • Affiliations:

  • Department of Computer Science and Application, Utkal University, Bhubaneswar, India;Department of Computer Science and Engineering, Government College of Engineering Kalahandi, Bhawanipatna, India

  • Venue:
  • CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India
  • Year:
  • 2011

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Abstract

This paper addresses the performance enhancement of speech processing applications like speech recognition, speaker identification and language identification in the presence of additive noise with help of proposed adaptive and iterative Wiener filter. This paper deals with the problem of single microphone, frequency domain speech enhancement in noisy environments using Wiener filter in iterative and adaptive manner based on the speech signal statistics (mean and variance). The algorithm achieves good temporal resolution while maintaining formant and harmonic trajectories. The results of implementation of such a structure will demonstrate significant improvements in Oriya isolated word recognition, Oriya continuous digit recognition, speaker identification and language identification performance under noisy conditions. The accuracy of all above applications is increased by 3% to 8% in average due to the proposed speech enhancement technique incorporation in our ongoing research works.