Enhancement of Shimmer in oesophageal speech using different wavelets

Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2013-12-01 DOI:10.1109/ISSPIT.2013.6781876

I. Ruiz, B. G. Zapirain

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引用次数: 1

Abstract

This paper presents an oesophageal speech enhancement algorithm using different wavelet approach. Such an exceptionally special type of voice is due to the laryngectomy undergone by those persons with larynx cancer. An oesophageal voice has extremely low intelligibility. This work proposes a method to improve its quality, which consists of enhancing the Shimmer parameter using Discrete Wavelet Transform (DWT) and it has been tested with different mother wavelets. By taking advantage of the Wavelet Transform's special time-frequency properties, a corrective algorithm in the form of a wave is applied for the signal intervals in which the shimmer measurement goes beyond normal levels. Therefore, an atomized control of the signal peaks is carried out, having an effect on the normalization of the shimmer. The final speech improvement has been measured with the help of Multidimensional Voice Program (MDVP) [7] tools.

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不同小波增强食道语音中的微光信号

本文提出了一种基于不同小波变换的食道语音增强算法。这种异常特殊的声音类型是由于喉癌患者接受了喉切除术。食道声音的清晰度极低。本文提出了一种利用离散小波变换(DWT)增强微光参数的方法，并用不同的母小波对其进行了测试。利用小波变换特有的时频特性，对闪烁测量值超出正常水平的信号间隔采用波形形式的校正算法。因此，对信号峰值进行雾化控制，对微光的归一化产生影响。在多维语音程序(MDVP)[7]工具的帮助下测量了最终的语音改善。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology

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