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汉语语音识别中语言模型的并行优化 被引量:1

Parallel Optimization Method in Language Model for Mandarin Speech Recognition
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摘要 研究了汉语语音识别中语言模型的并行优化问题,在已有汉语语音识别有调拼音模型和多核体系结构的基础上,对其算法进行了并行优化,并优化了查询机制和前后向算法。试验表明,该方法取得了很好的效果,识别速度有了很大改进。 In order to improve performance and throughput of speech recognition system, parallel optimization method in language model is proposed based on mandarin N-gram model and multi-core systems. The searching algorithm is optimized, and the forward-algorithm and backward-algorithm are parallelized on different CPU-cores. The ideal properties of the optimized speech recognition system provide users with high speed and throughput. It makes real-time recognition much easier.
作者 金玮 孙甲松
出处 《电声技术》 2010年第8期49-52,共4页 Audio Engineering
关键词 关键词语音识别 N元有调拼音文法模型 并行优化 speech recognition N-gram model for Pinyin with tone parallel optimization
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参考文献6

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二级参考文献13

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