Generalized multi-microphone spectral amplitude estimation based on correlated noise model

نویسندگان

  • Lae-Hoon Kim
  • Mark Hasegawa-Johnson
  • Koeng-Mo Sung
چکیده

Enhancing speech contaminated by uncorrelated additive noise, when the degraded speech alone is available, has received much attention. In recent years many systems have used multi-microphone arrays for the task of speech enhancement and robust speech recognition. In this paper we introduce a generalized multi-microphone spectral amplitude estimation approach based on a model with non-negligible inter-microphone noise coherence. We demonstrate that our approach is a general foundation that can support any classical single-channel spectral estimation technique. We also present experimental results using data from the AVICAR database, spanning a wide range of noise conditions in a real moving car.

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تاریخ انتشار 2007