Towards the Improvement of Automatic Recognition of Dysarthric Speech

摘要：

Dysarthria is a motor speech disorder that is often associated with irregular phonation (e.g. vocal fry) and amplitude, in coordination of articulators, and restricted movement of articulators, among other problems. The aim of this study is to raise dysarthic speech recognition rate through producing intelligibilityenhanced speech using a procedure in which formants and energies are estimated from dysarthic speech and modified to more closely approximately desired normal targets. The modified parameters are taken to formant synthesizer to get final transformed speech, tested through perceptual tests to ensure quality and intelligibility. Then, we passed the modified dysarthric speech through an automatic speech recognition engine based on the HTK Hidden Markov Model Toolkit. Speech recognition tests results indicate that the applied conversion algorithm raises the recognition rate of the dysarthric speech from 28% to 71.4%.

作者: Hesham Tolba Ahmed S. EL Torgoman

作者单位: Electrical Engineering Department Faculty of Engineering, Taibah University Al Madinah, KSA Electrical Engineering Department Faculty of Engineering, Alexandria University Alexandria, Egypt

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 277-281

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）