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Results from Using Automatic Speech Recognition in Cleft Speech Therapy with Children

机译:在儿童C裂言语治疗中使用自动言语识别的结果

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Most children with cleft are required to undertake speech therapy after undergoing surgery to repair their craniofacial defect. However, the untrained ear of a parent can lead to incorrect practice resulting in the development of compensatory structures. Even worse, the boring nature of the cleft speech therapy often causes children to abandon home exercises and therapy altogether. We have developed a simple recognition system capable of detecting impairments on the phoneme level with high accuracy. We embed this into a game environment and provide it to a cleft palate specialist team for pilot testing with children 2 to 5 years of age being evaluated for speech therapy. The system consistently detected cleft speech in high-pressure consonants in 3 out of our 5 sentences. Doctors agreed that this would improve the quality of therapy outside of the office. Children enjoyed the game overall, but grew bored due to the delays of phrase-based speech recognition.
机译:大多数患有left裂的儿童在接受手术以修复其颅面缺损后需要进行言语治疗。但是,父母未经训练的耳朵可能导致不正确的练习,从而导致代偿结构的发展。更糟糕的是,c裂言语疗法的无聊性质常常导致儿童完全放弃家庭锻炼和疗法。我们已经开发了一种简单的识别系统,能够高精度地检测音素级别的损伤。我们将其嵌入游戏环境中,并提供给a裂专家团队进行先导测试,对2至5岁的儿童进行言语治疗评估。该系统在5个句子中的3个中一致地检测到了高压辅音中的speech裂语音。医生同意这将改善办公室外的治疗质量。儿童总体上喜欢游戏,但由于基于短语的语音识别的延迟而感到无聊。

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