指挥与控制阿拉伯语语音识别系统声学模型的开发

International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04. Pub Date : 2004-09-05 DOI:10.1109/ICEEC.2004.1374575

M. Nofal, E. Abdel Reheem, H. El Henawy, N. Abdel Kader

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引用次数: 7

摘要

提出了一种声学训练系统，用于建立中等词汇量独立于说话人的连续语音识别系统的声学模型。通过构建语音数据库来训练声学模型。声学模型被构建和训练。建立了一个测试集数据库来测试声学模型的准确性，并建立了双语法和无上下文语法两种主要类型的4个语言模型并用于测试。结果表明，基于1340个单词和306个单词的二元图语言模型的错误率分别为5.26%和2.72%。我们的结果表明，基于上下文无关语法的1340个单词和306个单词的语言模型分别为0.19%和0.99%。

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The development of acoustic models for command and control arabic speech recognition system

The paper presents an acoustic training system for building acoustic models for a medium vocabulary speaker independent continuous speech recognition system. A speech database is constructed to train the acoustic models. The acoustic models are constructed, trained. A test set database is constructed to test the accuracy of the acoustic models, also 4 language models of two main types: bigram and context free grammar were built and used in tests. Our results show a 5.26 YO and 2.72 % word error rate for 1340 and 306 words bigram based language model respectively. Our results show also 0.19 % and 0.99% for 1340 and 306 words context free grammar based language models respectively.

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来源期刊

International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.

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