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Robust Speech Recognition Based on Neighborhood Space
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    Abstract:

    This paper presents an approach to robust speech recognition based on neighborhood space, which can achieve performance robustness under mismatch between training and testing conditions. This approach uses neighborhood space of each underlying model to produce Bayesian predictive density as observation probability density. Experimental results show that the proposed method improves the performance robustness.

    Reference
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    [3]张欣研,王帆,郑方,徐明星,吴文虎.基于子带信息的鲁棒语音特征提取框架.中文信息学报,2002,16(1):19-24.
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严斌峰,朱小燕,张智江,张范.基于邻接空间的鲁棒语音识别方法.软件学报,2007,18(4):878-883

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History
  • Received:February 02,2004
  • Revised:August 24,2005
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