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Blind Spatial Subtraction Array with Independent Component Analysis for Hands-free Speech Recognition
  • Yu Takahashi, (Nara Institute of Science and Technology)
  • Tomoya Takatani, (Nara Institute of Science and Technology)
  • Hiroshi Saruwatari, (Nara Institute of Science and Technology)
  • Kiyohiro Shikano, (Nara Institute of Science and Technology)
  • Sound enhancement and sound separation
  • Microphone arrays and array signal processing
  • Noise reduction techniques
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In this paper, we propose a new blind spatial subtraction array (BSSA) which contains an accurate noise estimator based on independent component analysis (ICA) to realize a noise-robust hands-free speech recognition. First, a preliminary experiment suggests that the conventional ICA is proficient in the noise estimation rather than the direct speech estimation in real environments, where the target speech can be approximated to a point source but real noises are often not point sources. Secondly, based on the above-mentioned findings, we propose a new noise reduction method which is implemented in subtracting the power pectrum of the estimated noise by ICA from the power spectrum of noise-contaminated observations. This architecture provides us a noise-estimation-error robust speech enhancement which is well applicable to the speech recognition. Finally, the effectiveness of the proposed BSSA is shown in the speech recognition experiment.

©2006 Télécom Paris/TSI
Edition : Télécom Paris -- 2006