Noisy Speech Recognition Based on Integration/Selection of Multiple Noise Suppression Methods Using Noise GMMs

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概要

• 論文の詳細を見る

• To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this paper presents methods for integration of four noise reduction algorithms: spectral subtraction with smoothing of time direction, temporal domain SVD-based speech enhancement, GMM-based speech estimation and KLT-based comb-filtering. In this paper, we proposed two types of combination methods of noise suppression algorithms: selection of front-end processor and combination of results from multiple recognition processes. Recognition results on the CENSREC-1 task showed the effectiveness of our proposed methods.kn-abstract=

• （社）電子情報通信学会の論文
• 2008-03-01

著者

• KITAOKA Norihide

  Nagoya University

• Nakagawa Seiichi

  Toyohashi Univ. Technol. Toyohashi‐shi Jpn

• Nakagawa Seiichi

  Toyohashi Univ. Of Technol. Toyohashi‐shi Jpn

• Kitaoka Norihide

  Toyohashi University Of Technology

• HAMAGUCHI Souta

  Toyohashi University of Technology

• Kitaoka Norihide

  Nagoya Univ.

• NAKAGAWA Seiichi

  Nagoya University

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