| 基于支持向量机的语音识别研究 |
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| 引用本文： | 郭月玲,张雪英,白静.基于支持向量机的语音识别研究[J].电脑开发与应用,2009,22(3):12-13. |
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| 作者姓名： | 郭月玲 张雪英 白静 |
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| 作者单位： | 太原理工大学信息工程学院,太原,030024 |
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| 基金项目： | 山西省自然科学基金，山西省科技攻关计划，山西省高校科技研究开发项目，太原市大学生创新创业专项项目 |
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| 摘 要： | 为了得到较好的语音识别效果，构建了基于线性核函数支持向量机的非特定人孤立词语音识别系统，取得了较高的识别率，并将该实验结果同基于HMM的识别结果进行了比较，显示出了支持向量机在基于有限样本情况下进行语音识别的优势。
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| 关 键 词： | 支持向量机 线性核 语音识别 |
Research of Speech Recognition based on Support Vector Machine |
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| Guo Yueling et al.Research of Speech Recognition based on Support Vector Machine[J].Computer Development & Applications,2009,22(3):12-13. |
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| Authors: | Guo Yueling |
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| Abstract: | In order to get better results of speech recognition,we construct a non-specific,isolated word speech recognition system based on linear kernel function support vector machine.Through doing a lot of experiments,we get higher accuracy.By comparing the results with that of speech recognition based on HMM,we find that the support vector machine has advantage on speech recognition when the training data is small. |
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| Keywords: | support vector machine linear kernel speech recognition |
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