| 噪声环境下语音信号端点检测算法的研究与改进 |
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| 引用本文： | 唐永锋,霍春宝.噪声环境下语音信号端点检测算法的研究与改进[J].数字社区&智能家居,2007,2(6):1386-1387. |
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| 作者姓名： | 唐永锋 霍春宝 |
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| 作者单位： | 辽宁工业大学信息科学与工程学院,辽宁锦州121001 |
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| 摘 要： | 端点检测是语音识别申的一项关键技术，端点检测的准确性对语音识别的性能有很大影响。论文对基于短时能量和短时过零率及基于LPC倒谱特征的端点检测算法进行了研究，给出改进的基于LPC美尔倒谱特征的端点检测算法，并通过实验证明其在低信噪比下具有较好的检测性能。随着语音识别技术的发展，这种算法在实际应用中的高效率、实时、准确性会逐渐显现出。
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| 关 键 词： | 语音信号 端点检测 LPC MFCC 倒谱特征 |
| 文章编号： | 1009-3044（2007）11-21386-02 |
| 修稿时间： | 2007-04-22 |
Research and Improvement to the Algorithm for the Speech Signal Endpoint Detection in the Noisy Environment |
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| TANG Yong-feng,HUO chun-bao.Research and Improvement to the Algorithm for the Speech Signal Endpoint Detection in the Noisy Environment[J].Digital Community & Smart Home,2007,2(6):1386-1387. |
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| Authors: | TANG Yong-feng HUO chun-bao |
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| Abstract: | The endpoint detection is an essential technology in a speech recognition system, its accuracy has a very tremendous influence on the speech recognition performance. The paper makes researches and improvements to the traditional algorithm for speech signal endpoint detection, and the exeperiment indicates that good detection performance can be obtained in the low SN1L. With the development of the speech recognition technology, this algorithm will be compicious for its high efficiency, synchronic and accuracy in the application use, |
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| Keywords: | speech signal endpoint detection lineer predictive coding reel frequency coding coefficient cepstral characteristic |
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