基于交叉验证的阿拉伯语口语数字识别HMM参数估计

2011 International Conference on Communications, Computing and Control Applications (CCCA) Pub Date : 2011-03-03 DOI:10.1109/CCCA.2011.6031396

N. Hammami, M. Bedda, N. Farah

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引用次数: 7

摘要

本文采用交叉验证方法对隐马尔可夫模型进行参数预选，实现了阿拉伯语口语数字的自动识别。实验结果表明，所得到的数字识别数据集的识别率达到了94.09%，与以往使用相同数据集的方法相比，所提出的方法具有良好的性能。

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HMM parameters estimation based on cross-validation for Spoken Arabic Digits recognition

This paper presents automatic recognition of the Spoken Arabic Digits recognition by means of preselected parameters for the Hidden Markov Models using the cross validation method. The experimental results give the best result with the obtained parameters, achieve 94.09% correct digit recognition dataset and confirm the promising capabilities of the proposed approach compared to the previous work that uses the same dataset.

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2011 International Conference on Communications, Computing and Control Applications (CCCA)

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