Multi-Channel Speech Enhancement in a Car Environment using Wiener Filtering and Spectral Subtraction

Autoren: J. Bitzer, K.U. Simmer, K.-D. Kammeyer, K. U. Simmer
Kurzfassung: This paper presents a multichannel-algorithm for speech enhancement for hands{free telephone systems in cars. This new algorithm takes advantage of the special noise characteristics in fast driving cars. The incoherence of the noise allows to use adaptive Wienerfiltering in the frequencies above a theoretically determined frequency. Below this frequency a smoothed spectral subtraction (SSS) is used to get an improved noise suppression. The algorithm yields better results in noise reduction with significantly less distortions and artificial noise than spectral subtraction or Wienerfiltering alone.
Dokumenttyp: Konferenzbeitrag
Veröffentlichung: Munich, Germany, 21. - 24. April 1997
Konferenz: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97)
Seiten: 1167-1170
Volume: 2
Index: 62
Paper KB
Zuletzt aktualisiert am 29.04.2008 von C. Bockelmann
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