A Game Application to assist Speech Language Pathologists in the Assessment of Children with Speech Disorders

doi:10.30534/ijatcse/2020/02952020

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…A SSD should not be confused with a communication disorder. Speech disorders are communication disorders that disrupt everyday speech [9]. The ASHA states that this can be due to an impairment in the articulation of speech sounds, fluency and/or voice [4].…”

Section: Background and Related Work 21 Communication Disordersmentioning

confidence: 99%

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders

Attwell

Bennin

Tekinerdoğan

2022

Sensors

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Currently, not all children that need speech therapy have access to a therapist. With the current international shortage of speech–language pathologists (SLPs), there is a demand for online tools to support SLPs with their daily tasks. Several online speech therapy (OST) systems have been designed and proposed in the literature; however, the implementation of these systems is lacking. The technical knowledge that is needed to use these programs is a challenge for SLPs. There has been limited effort to systematically identify, analyze and report the findings of prior studies. We provide the results of an extensive literature review of OST systems for childhood speech communication disorders. We systematically review OST systems that can be used in clinical settings or from home as part of a treatment program for children with speech communication disorders. Our search strategy found 4481 papers, of which 35 were identified as focusing on speech therapy programs for speech communication disorders. The features of these programs were examined, and the main findings are extracted and presented. Our analysis indicates that most systems which are designed mainly to support the SLPs adopt and use supervised machine learning approaches that are either desktop-based or mobile-phone-based applications. Our findings reveal that speech therapy systems can provide important benefits for childhood speech. A collaboration between computer programmers and SLPs can contribute to implementing useful automated programs, leading to more children having access to good speech therapy.

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Section: Background and Related Work 21 Communication Disordersmentioning

confidence: 99%

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders

Attwell

Bennin

Tekinerdoğan

2022

Sensors

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Deep learning techniques for monitoring speech and vision improvement in therapy patients using big data

Vimala,

Valarmathi

2024

IFS

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This study proposes a novel method using hybrid CNN-LSTM networks to measure and predict the effectiveness of speech and vision therapy. Traditional methods for evaluating therapy often rely on subjective assessments, lacking precision and efficiency. By combining CNN for visual data and MFCC for speech, alongside LSTM for temporal dependencies, the system captures dynamic changes in patients’ conditions. Pre-processing of audio and visual data enhances accuracy, and the model’s performance outperforms existing methods. This approach exhibits the potential of deep learning in monitoring patient progress effectively in speech and vision therapy, offering valuable insights for improving treatment outcomes. The proposed system’s effectiveness is assessed by various performance metrics. The suggested system’s results are compared with those of other methods already in use. The study’s findings indicate that the suggested approach is more accurate than other existing models. In conclusion, this study offers important new information on how deep learning methods are being used to track patients’ progress in speech and vision therapy.

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A Game Application to assist Speech Language Pathologists in the Assessment of Children with Speech Disorders

Cited by 2 publications

References 5 publications

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders

Deep learning techniques for monitoring speech and vision improvement in therapy patients using big data

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