|
| 一种强噪声环境下的语音端点检测算法 |
| Speech Endpoint Detection Algorithm Based on Strong Noise Environment |
| 投稿时间：2015-05-07 |
| DOI：10.16018/j.cnki.cn32-1650/n.201503010 |
| 中文关键词: 端点检测 低信噪比 频带方差 |
| 英文关键词: endpoint detection low SNR frequency band variance |
| 基金项目: |
|
| 摘要点击次数: 4502 |
| 全文下载次数: 3683 |
| 中文摘要: |
| 语音识别中语音信号端点检测的准确度起着至关重要的作用，传统的频带方差算法在强背景噪声环境下性能下降。提出一种改进算法，在保证算法复杂度较低的条件下，大大提高了检测的准确度。仿真证明，该算法在低信噪比条件下也具有较强的鲁棒性。 |
| 英文摘要: |
| The accuracy of speech recognition in speech signal endpoint detection plays an important role. Traditional frequency band variance algorithm gives a bad performance in strong noise environment. In ensuring a lower computational complexity conditions, Put forward an improved algorithm, which can greatly improve the accuracy of detection. The simulation results show that the algorithm has strong robustness under low SNR condition. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |