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Automatic detection of stridence in speech using the auditory model

机译：使用听觉模型自动检测语音中的趋势

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摘要

Stridence as a form of speech disorder in Serbian language is manifested by the appearance of an intense and sharp whistling. Its acoustic characteristics significantly affect the quality of verbal communication. Although various forms of stridence manifestation are successfully diagnosed by speech therapists, there is a need for the automatic detection and evaluation of stridence. In this paper, an algorithm for stridence detection using Patterson's auditory model is presented. The algorithm consists of three processing stages. In the first stage spectral analysis and masking effects are applied using Paterson's auditory model. In the second stage a contour of spectral peaks that best fits characteristic features of the stridence is selected in the time-frequency (TF) representation of the signal obtained by Patterson's auditory model. In the third stage hypothesis testing is performed with three decisions: D_0 -no stridence, D_1 - stridence, and D_2 - unable to decide. The reliability of stridence detection is tested on the speech corpus of 16 speakers without stridence (with correct speech), 16 speakers without stridence but with some other speech sound disorders, and 16 speakers with stridence. Test results show high correspondence of subjective measures and automatic detection.
机译：紧张是塞尔维亚语中一种语言障碍，表现为强烈而尖锐的啸叫声。它的声学特性会严重影响言语交流的质量。尽管言语治疗师已成功诊断出各种形式的耳鸣表现，但仍需要自动检测和评估耳鸣。本文提出了一种使用帕特森听觉模型检测痕迹的算法。该算法包括三个处理阶段。在第一阶段，使用帕特森的听觉模型来应用频谱分析和掩蔽效果。在第二阶段中，在由帕特森听觉模型获得的信号的时频（TF）表示中，选择最适合该趋势特征的频谱峰轮廓。在第三阶段，通过三个决策执行假设检验：D_0-无趋势，D_1-趋势和D_2-无法决策。对16位无拘束说话者（具有正确语音），16位无显着说话者但有一些其他语音声音障碍的说话者和16位有显着说话者的言语语料库进行了测试。测试结果表明，主观测量与自动检测具有高度一致性。

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  • 来源
    《Computer speech and language》 |2016年第3期|122-135|共14页
  • 作者

    Ruzica Bilibajkic; Zoran Saric; Slobodan T. Jovicic; Silvana Punisic; Misko Subotic;

  • 作者单位

    Life Activities Advancement Center, Gospodar Jovanova 35, 11000 Belgrade, Serbia;

    Life Activities Advancement Center, Gospodar Jovanova 35, 11000 Belgrade, Serbia;

    Life Activities Advancement Center, Gospodar Jovanova 35, 11000 Belgrade, Serbia,School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000 Belgrade, Serbia;

    Life Activities Advancement Center, Gospodar Jovanova 35, 11000 Belgrade, Serbia;

    Life Activities Advancement Center, Gospodar Jovanova 35, 11000 Belgrade, Serbia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Speech pathology; Stridence; Pathology detection; Auditory model;

    机译：语言病理学;机率病理检测;听觉模型;

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