Group Quebec - Speech Error Detection and Correction @CambridgeComputerLab
Group Quebec - Speech Error Detection and Correction  @CambridgeComputerLab
Uploaded April 2025 | Updated September 2026, 20 hours ago
Client: Conor Peacock, Alder Hey Children's Hospital

Amogh Vishwakarma, Alex Loh, Billy Laws, Harsh Lunia, Sam Shakeshaft, Tabby Black

Children with cleft palate often experience specific speech errors that require targeted feedback to correct. Traditional speech therapy sessions are time-consuming and may not provide immediate, specific guidance during at-home practice. This project aims to develop an interactive tool that detects cleft-related speech errors and offers real-time, personalised feedback. The tool must create a baseline and then learn as the child practices how they are improving. The goal is to support speech therapists by providing patients with an engaging way to practice and improve their speech outside of clinical sessions, enhancing the overall effectiveness of treatment.
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Group Quebec - Speech Error Detection and Correction

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