Speech Enhancement in a Noisy Car Environment

نویسندگان

  • Erik Visser
  • Te-Won Lee
  • Manabu Otsuka
چکیده

We present a new speech enhancement method for robust speech recognition in a noisy car environment. The method is based on the combination of two important building blocks, namely blind source separation given two microphone signals and speech denoising using a hybrid Wavelet Independent Component Analysis (ICA) filterbank. The first block separates point sources such as the passenger’s voice signal whereas the second block eliminates distributed noise signals such as road and wind noise. We performed experiments with real recordings taken while driving in a noisy automobile environment. The method works nearly realtime and achieves good separation results.

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تاریخ انتشار 2001