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Improved bayesian approach to robust speech segmentation

机译:改善了贝叶斯致力于言论细分的方法

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摘要

To enhance the robustness of speech segmentation, this paper presents the improved segmentation model based on bayesian method which combined with a prior probability which is independent to noise feature as the compensation for the mismatch of acoustic model. We evaluated and compared the performance of different methods in speech segmentation experiment.
机译:为了增强语音分割的稳健性,本文提出了基于贝叶斯方法的改进分割模型,该方法结合了与噪声特征无关的现有概率作为声学模型不匹配的补偿。我们评估并比较了语音分割实验中不同方法的性能。

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