• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Inventive Computation Technologies >Implementation of pitch detection algorithms for pathological voices
【24h】

Implementation of pitch detection algorithms for pathological voices

机译：病态语音音高检测算法的实现

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Pitch detection algorithm is important feature in the speech processing algorithms. It can be used for speaker recognition, speech instruction of the hearing impaired ones, vocoder systems, discriminate normal and pathological voice etc. Hence robust and accurate determination of pitch is necessary. The paper involves determining pitch of the speech signal by the pitch detection algorithm - 1) Autocorrelation method, 2) Cepstrum Method, 3) Simplified Inverse Filtering Method 4) Data Reduction Method. A measurement is made on the pitch contours to explore how voice/acoustic parameter like fundamental frequency can determine person's health. The paper attempts to identify and classify the pathological voices from the normal voices using k-NN algorithm. The relative performance comparison is done in terms of accuracy and speed of operation of the above mentioned algorithms.
机译：音调检测算法是语音处理算法中的重要功能。它可以用于说话人识别，听觉障碍者的语音指令，声码器系统，区分正常和病理性语音等。因此，需要可靠而准确地确定音调。本文涉及通过音调检测算法确定语音信号的音调-1）自相关方法，2）倒谱方法，3）简化逆滤波方法4）数据缩减方法。在音高轮廓上进行测量以探究诸如基频之类的语音/声学参数如何确定人的健康。本文尝试使用k-NN算法从正常语音中识别和分类病理语音。相对性能比较是根据上述算法的准确性和运算速度来完成的。

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