A Modified Minimum Statistics Algorithm for Reducing Time Varying Harmonic Noise

نویسندگان

  • Thomas Esch
  • Matthias Rüngeler
  • Florian Heese
  • Peter Vary
چکیده

In this paper, a single-channel speech enhancement system is presented that is capable of reducing (time-varying) harmonic noise. For this, the well-known Minimum Statistics approach is modified in order to track and suppress the harmonic noise based on the harmonics’ fundamental frequency which is assumed to be known a priori. The performance of the proposed noise suppression system is shown to be consistently better than conventional approaches.

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تاریخ انتشار 2010