Phonological disorders treatment effect with a stimulability and segment complexity strata model with speech intervention software (SIFALA)

ABSTRACT This paper focuses on the effect of the Strata Model based on Stimulability and Segment Complexity combined with the use of Speech Intervention Software on phonological disorders treatment. A case study was conducted with four subjects aged between 4:10 and 6:7, both males and females, with phonological disorders. All subjects were assessed for phonological system, stimulability, stomatognathic system and hearing screening. The therapeutic model was based on a mixed approach, wherein different models, procedures and strategies were combined, adapted and created. Each subject was treated with one of the four strata proposed in the model. The use of Speech Intervention Software was aimed at motivating the children by means of an interactive, lively and playful code. An analysis was made of data on subjects' phonological system and number of correctly produced consonants, both before and after therapy. The Chi-square test was used with a level of significance at 5% (p< 0.05). There were changes in the sound system for all treated subjects: segments were established in their phonetic inventory and acquired in their phonological system. The subjects treated by the strata that were focused on greater complexity of the Implicational Model of Feature Complexity showed more therapeutic improvement. However, because there was a reduced number of subjects, greater effectiveness cannot be attributed to any of the strata at this point. In conclusion, the Model and the use of Speech Intervention Software had a positive effect, contributing to the planning and treatment of phonological speech disorders. However, further studies should be conducted with larger samples to confirm the findings.

摘要 本研究聚焦于基于可刺激度（Stimulability）与音段复杂度（Segment Complexity）的层级模型（Strata Model）结合言语干预软件（Speech Intervention Software）的应用对语音障碍（phonological disorders）治疗的效果。本研究纳入4名年龄介于4岁10个月至6岁7个月、患有语音障碍的男女受试者开展个案研究。所有受试者均接受了语音系统、可刺激度、口颌系统（stomatognathic system）及听力筛查的评估。本次治疗模型采用混合干预范式，整合、调整并创新了多种干预模型、流程与策略。每位受试者分别接受该模型提出的四类层级中的一种干预方案。言语干预软件的应用旨在通过互动性强、生动活泼且充满趣味的形式激发儿童参与积极性。研究对治疗前后受试者的语音系统数据与正确发音辅音数量进行了分析。本研究采用卡方检验（Chi-square test），显著性水平设定为5%（p<0.05）。所有接受干预的受试者的语音系统均出现改善：其语音音库中新增了目标音段，并在语音系统中掌握了该类音段。接受聚焦于特征复杂度蕴含模型（Implicational Model of Feature Complexity）更高复杂度层级干预的受试者，其治疗改善效果更为显著。但由于受试者样本量较小，目前尚无法将更优的干预效果归因于某一类特定层级。综上，该层级模型与言语干预软件的应用均展现出积极效果，可为语音障碍的规划与治疗提供助力。但未来仍需开展更大样本量的研究以验证本研究结论。