• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Symposium on Communications and Information Technologies(ISCIT 2005) vol.1; 20051012-14; Beijgin(CN) >A Robust Pitch Detection in Noisy Speech with Band-Pass Filtering on Modulation Spectra
【24h】

A Robust Pitch Detection in Noisy Speech with Band-Pass Filtering on Modulation Spectra

机译：调制频谱上的带通滤波在嘈杂语音中的稳健音调检测

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this report, we are presenting a new robust pitch detection for noisy speech. The conventional method, i.e., AUTOC, is vulnerable to the serious noise environment, especially the periodical noise. In the case of addtive car noise, the detection acurrancy is considerably deteriorated. A new detection method is proposed by adding a process which implements band-pass filtering on the modulation spectra of the speech sections to AUTOC. The 2-nd power amplitude spectrum of speech in the autocorrelation computation of AUTOC is replaced by the 3-rd power amplitude spectrum. In addition, a band-limitation operation in frequency domain is carried out. It is adapted to the pitch features of human speech. An evaluation using 10 Chinese words is undertaken to compare the proposed detection method with AUTOC and a recent method based on exponentiated band-limited amplitude spectrum. The experiment is at the noise level ranged from 0 dB SNR to 10 dB SNR with white noise, colored noise and car interior noise. It is shown that the error of Gross Pitch Error (GPE) in the proposed detection method is significantly decreased in severely noisy speech.
机译：在此报告中，我们提出了一种用于噪声语音的新型鲁棒音高检测。常规方法，即AUTOC，容易受到严重噪声环境，特别是周期性噪声的影响。在附加的汽车噪声的情况下，检测精度大大降低。通过向AUTOC添加对语音部分的调制频谱执行带通滤波的过程，提出了一种新的检测方法。 AUTOC的自相关计算中的语音的第二功率幅度谱被第三功率幅度谱代替。另外，在频域中执行频带限制操作。它适应于人类语音的音调特征。进行了10个中文单词的评估，以比较所提出的与AUTOC的检测方法和基于指数带限幅谱的最新方法。该实验的噪声级别为0 dB SNR到10 dB SNR，有白噪声，有色噪声和汽车内部噪声。结果表明，在严重噪声的语音中，所提出的检测方法中的总音高误差（GPE）的误差显着降低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号