首页> 外文会议>Systems, Signals and Image Processing, 2009. IWSSIP 2009 >Comparative Experiments to Evaluate the Use of Syllables for the Improvement of Automatic Recognition of Dysarthric Speech

【24h】

Comparative Experiments to Evaluate the Use of Syllables for the Improvement of Automatic Recognition of Dysarthric Speech

机译：评估音节用于改善发音异常语音自动识别的对比实验

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Not Available

机译：无法使用

著录项

来源
《Systems, Signals and Image Processing, 2009. IWSSIP 2009》|2009年|1-4|共4页
会议地点 Chalkida(GR);Chalkida(GR)
作者
Tolba Hesham;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Adaptive neuro-fuzzy inference system for evaluating dysarthric automatic speech recognition (ASR) systems: a case study on MVML-based ASR [J] . Asemi Adeleh, Salim Siti Salwah Binti, Shahamiri Seyed Reza, Soft computing: A fusion of foundations, methodologies and applications . 2019,第10期

机译：用于评估发育近似自动语音识别（ASR）系统的自适应神经模糊推理系统：基于MVML的ASR案例研究
2. The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance [J] . Tu Ming, Wisler Alan, Berisha Visar, The Journal of the Acoustical Society of America . 2016,第5期

机译：构音障碍性听觉障碍与自动语音识别性能的关系
3. The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance [J] . Tu Ming, Wisler Alan, Berisha Visar, The Journal of the Acoustical Society of America . 2016,第5期

机译：构音障碍性听觉障碍与自动语音识别性能的关系
4. Comparative Experiments to Evaluate the Use of Syllables for the Improvement of Automatic Recognition of Dysarthric Speech [C] . Hesham Tolba International Conference on Systems, Signals and Image Processing . 2009

机译：比较实验，以评估音节的使用改进自动识别发育性言论
5. Dysarthric Speech Recognition and Offline Handwriting Recognition using Deep Neural Networks. [D] . Pillai, Suhas Balkrishna. 2017

机译：使用深度神经网络的表情异常语音识别和离线手写识别。
6. The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance [O] . Ming Tu, Alan Wisler, Visar Berisha, -1

机译：构音障碍性听觉障碍与自动语音识别性能的关系
7. Comparative Analysis of Feature Extraction methods for Kannada Bi-Syllable Words of Dysarthric Speech [O] . Latha M 2020

机译：Kannada Bi-symlable语言的特征提取方法的比较分析

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