• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Intelligent Information Systems >Intelligent Processing of Stuttered Speech
【24h】

Intelligent Processing of Stuttered Speech

机译：口吃语音的智能处理

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

The process of counting stuttering events could be carried out more objectively through the automatic detection of stop-gaps, syllable repetitions and vowel prolongations. The alternative would be based on the subjective evaluations of speech fluency and may be dependent on a subjective evaluation method. Meanwhile, the automatic detection of intervocalic intervals, stop-gaps, voice onset time and vowel durations may depend on the speaker and the rules derived for a single speaker might be unreliable when trying to consider them as universal ones. This implies that learning algorithms having strong generalization capabilities could be applied to solve the problem. Nevertheless, such a system requires vectors of parameters, which characterize the distinctive features in a subject's speech patterns. In addition, an appropriate selection of the parameters and feature vectors while learning may augment the performance of an automatic detection system. The paper reports on automatic recognition of stuttered speech in normal and frequency altered feedback speech. It presents several methods of analyzing stuttered speech and describes attempts to establish those parameters that represent stuttering event. It also reports results of some experiments on automatic detection of speech disorder events that were based on both rough sets and artificial neural networks.
机译：口吃事件的计数过程可以通过自动检测间隙，音节重复和元音延长来更客观地执行。备选方案将基于语音流畅度的主观评估，并且可能取决于主观评估方法。同时，语音间隔，停止间隔，语音开始时间和元音持续时间的自动检测可能取决于说话者，并且当试图将它们视为通用时，为单个说话者得出的规则可能不可靠。这意味着可以将具有强大泛化能力的学习算法应用于解决该问题。然而，这样的系统需要参数向量，其表征对象的语音模式中的独特特征。另外，在学习时适当地选择参数和特征向量可以增强自动检测系统的性能。这篇论文报道了正常和频率改变的反馈语音中口吃语音的自动识别。它介绍了几种分析口吃语音的方法，并描述了尝试建立代表口吃事件的参数的尝试。它还报告了一些基于粗集和人工神经网络的语音障碍事件自动检测实验的结果。

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