| 基于Bark小波变换参数的语音寂声/语声段检测 |
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| 引用本文： | 曹建林,赵力.基于Bark小波变换参数的语音寂声/语声段检测[J].微电子学,2006,36(6):743-748. |
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| 作者姓名： | 曹建林 赵力 |
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| 作者单位： | 1. 江苏信息职业技术学院,江苏,无锡,214061
2. 东南大学,无线电工程系,江苏,南京,210096 |
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| 摘 要： | 提出了一种基于Bark小波变换参数的语音寂声/语声段检测方法。利用Bark小波的频率分级和能量聚焦能力,提取语音信号在不同子带上的统计参数;引入基于模糊熵的参数有效性分析,获得所有子带参数中分辨能力和稳定性最大的参数作为识别参数。仿真试验证明,该方法在不同噪声条件下稳定有效;比照传统参数,该方法在准确率和鲁棒性上都有较大幅度的提升。
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| 关 键 词： | Bark小波变换 频率分级 能量聚焦 寂声段 语声段 |
| 文章编号： | 1004-3365（2006）06-0743-06 |
| 收稿时间： | 2006-09-01 |
| 修稿时间： | 2006-09-012006-11-03 |
Silence/Voice Segment Detection of Speech Signals Based on Bark Wavelet Transform Parameters |
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| CAO Jian-lin,ZHAO Li.Silence/Voice Segment Detection of Speech Signals Based on Bark Wavelet Transform Parameters[J].Microelectronics,2006,36(6):743-748. |
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| Authors: | CAO Jian-lin ZHAO Li |
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| Affiliation: | 1. Jiangsu College of Information Technology, Wuxi, Jiangsu 214061; 2. Dept. of Radio Engineering, Southeast University, Nanjing, Jiangsu 210096, P. R. China |
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| Abstract: | A silence/voice detection method for speech signals using Bark wavelet transform parameters is proposed.In this method,the ability of frequency segmentation and energy focusing in Bark wavelet is utilized to extract statistic parameters of speech signals in different subbands.By introducing parameter validity analysis based on fuzzy entropy,the most discriminable and stable parameter in all subband parameters is derived as discriminate parameter.Simulation analysis demonstrates the stability and effectiveness of this method under different noise conditions,and its accuracy and robustness are improved to a certain extent,compare to traditional parameters. |
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| Keywords: | Bark wavelet transform Silence segment Voice segment Frequency segmentation Energy focusing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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