| 基于EMD和改进双门限法的语音端点检测 |
| |
| 引用本文： | 宋倩倩,于凤芹.基于EMD和改进双门限法的语音端点检测[J].电声技术,2009,33(8):60-63. |
| |
| 作者姓名： | 宋倩倩 于凤芹 |
| |
| 作者单位： | 江南大学通信与控制工程学院,江苏,无锡,214122 |
| |
| 摘 要： | 语音端点检测的准确与否直接影响到语音识别系统的计算复杂度和识别能力，在基于短时能量和过零率的端点检测算法中，能量计算方法不尽合理而且在低信噪比下检测效果大大降低。对此提出了一种基于经验模式分解和改进双门限法的语音端点检测算法，仿真结果表明在低信噪比情况下本文算法有更好的端点检测能力，显示了算法的优越性。
|
| 关 键 词： | 经验模式分解 固有模态函数 Teager能量 过零率 |
Speech Endpoint Detection Based on EMD and Improved Double Threshold Method |
| |
| SONG Qian-qian,YU Feng-qin.Speech Endpoint Detection Based on EMD and Improved Double Threshold Method[J].Audio Engineering,2009,33(8):60-63. |
| |
| Authors: | SONG Qian-qian YU Feng-qin |
| |
| Affiliation: | School of Communications and Control Engineering;Jiangnan University;Wuxi Jiangsu 214122;China |
| |
| Abstract: | The accuracy of speech endpoint detection affects the computational complexity and the recognition performance of the speech recognition system. In the algorithm based on short-time energy and zero-crossing rate, the calculating method about energy is unreasonable and can not work well in low signal to noise ratio environments. An algorithm based on EMD and improved double threshold is proposed, and the simulation results show this algorithm has better detection capability in low signal to noise ratio envir... |
| |
| Keywords: | empirical mode decomposition intrinsic mode function teager energy zero-crossing rate |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
