One of the most common disorders in children with cleft palate is hypernasality that survives also after operation. To solve this problem, it is required to set many speech therapy sessions. Therefore, assessment of hypernasality is fundamental for speech therapists and could be done either by a nasometer equipment or an expert speech therapist. Recently speech processing methods are introduced as an efficient alternative tool. In this study, vowels (/a/) extracted from 392 utterances of disyllables (/pamap/) that were uttered by 22 normal subjects and 13 subjects with cleft palate have been used and are recorded by nasal and oral microphones. Some analyses are performed on Group Delay parameters as well as features of wavelet transform. The results show that extracted parameters from Group Delay spectrum of second (/a/) in (/pamap/) context, obtained from both nasal and oral signals, are better than that of the first (/a/), and in the best outcomes an accuracy of 94.1 % is achieved. In wavelet transform, statistical features are calculated from 5 sub-bands of Daubechies4 coefficients of two (la/) vowels and their transients. In the best results an accuracy of 97.1 % for transient (lma/) from combination of nasal and oral features is obtained.
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机译：腭裂腭裂中最常见的疾病之一是在运作后也存活的性质。为了解决这个问题，需要设置许多语音治疗课程。因此，言语治疗师的评估是言论者的基础，可以通过播音器设备或专家言语治疗师来完成。最近，语音处理方法被引入为有效的替代工具。在该研究中，已经使用了由22个正常受试者和13个受试者发出的Butlleables（/ PAMAP /）的392个话语中提取的元音（/ a /），并被鼻腔和口腔麦克风记录。对组延迟参数以及小波变换的特征进行了一些分析。结果表明，从鼻腔和口头信号中获得的（/普及/）上下文中的第二（/ a /）的组延迟谱的提取参数优于第一个（/ a /），并且最好结果是实现了94.1％的准确性。在小波变换中，统计特征由两个（La /）元音的Daubechies4系数的5个子带和其瞬态计算。在最佳结果中，获得了来自鼻腔和口腔特征的瞬态（LMA /）的97.1％的精度。
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