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Improved Bayesian approach to robust speech segmentation

机译:改进的贝叶斯方法进行鲁棒语音分割

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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:为了提高语音分割的鲁棒性,本文提出了一种基于贝叶斯方法的改进分割模型,该模型结合了与噪声特征无关的先验概率作为声学模型失配的补偿。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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