A Modified Minimum Statistics Algorithm for Reducing Time Varying Harmonic Noise

Conference: Sprachkommunikation 2010 - 9. ITG-Fachtagung
10/06/2010 - 10/08/2010 at Bochum, Deutschland

Proceedings: Sprachkommunikation 2010

Pages: 4Language: englishTyp: PDF

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Esch, Thomas; Rüngeler, Matthias; Heese, Florian; Vary, Peter (Institute of Communication Systems and Data Processing, RWTH Aachen University, 52056 Aachen, Germany)

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.