改进的贝叶斯鲁棒语音分割方法

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI:10.1109/ICNNSP.2003.1280740

Z. Wenjun, Xie Jianying

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引用次数: 1

摘要

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语音分割模型，该模型结合了独立于噪声特征的先验概率作为声学模型失配的补偿。在语音分割实验中，我们对不同方法的性能进行了评价和比较。

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Improved Bayesian approach to robust speech segmentation

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.

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来源期刊

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

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