(TALC-CI) Automated spontaneous speech analyses in children with cochlear implants
By extending the TALC-LSA software, the TALC-CI project seeks to integrate Automatic Speech Recognition (ASR) technology for the first time into clinical practice and additionally contribute to the expansion of the kidsTALC research database.
In TALC-CI our software will be tailored for children with Cochlear Implant, addressing the need for an efficient and comprehensive assessment of their language development and therapy outcomes. The research involves quantitative and qualitative data to assess the feasibility and utility of our ASR-based tools in speech therapy interventions for children with CI. This enables us to include crucial enduser perspectives into the development of our software.
Project Status:
The TALC-CI project is currently in the implementation phase, with key activities underway to develop and integrate automated speech analysis techniques for children with CI. Progress has been made in extending the TALC-LSA software to accommodate the unique language patterns of children with CI, with a focus on enhancing accuracy and efficiency in language assessment. Data collection for quantitative and qualitative studies is ongoing, with efforts to recruit participants and gather spontaneous speech samples for analysis. The project team is also working on validating the reliability and validity of ASR-based assessments against manual methods to ensure clinical utility.
The project is funded by the Leibniz Young Investigator Grant.