The solution of the problem of assessing the quality of the pronunciation of syllables during speech rehabilitation after surgical treatment of oncological diseases of the organs of the speech-forming tract is considered in the work. The assessment is carried out by solving the problem of classifying syllables into two classes: before and immediately after surgical treatment. A classifier is built on the basis of the LSTM neural network and trained on the records before the operation and immediately after it, before the start of speech rehabilitation. The measure of assessing the quality of syllables pronunciation in the process of rehabilitation is the metric of belonging to the class before the operation. A study is being made of the influence of taking into account problematic phonemes, the gender of the patient, his individual characteristics on the resulting estimates of the quality of pronunciation. A comparison with existing types of syllable pronunciation quality assessments is carried out, recommendations are given for the practical application of the resulting new class of pronunciation quality assessments.
翻译:在对语言成形道器官肿瘤疾病进行外科手术治疗后,在语言康复期间,对音响的发音质量进行评估,这一问题的解决方案在这项工作中得到了考虑,通过解决将音响分类分为两类的问题进行评估:在手术前和手术后立即进行;根据LSTM神经网络建立分类器,在手术前和手术后立即对记录进行培训;在语言康复过程开始之前评估音响发音质量的尺度是手术前属于该类的尺度;正在研究考虑到问题电话的影响、病人的性别、他对由此产生的发音质量估计的个别特点;与现有的可发音质量评估类型进行比较,并就由此产生的新发音质量评估类别的实际应用提出建议。