DEMO: EaseTalk: An LLM-driven speech practice tool for real-life scenarios

Simple item page
dc.contributor.authorFaggiani, Marcoen
dc.contributor.authorQirtas, Malik Muhammaden
dc.contributor.authorFrizelle, Paulineen
dc.contributor.authorRyan, Fionaen
dc.contributor.authorMuller, Nicoleen
dc.contributor.authorVisentin, Andreaen
dc.contributor.funderResearch Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2025-10-10T14:50:11Z
dc.date.available2025-10-10T14:50:11Z
dc.date.issued2025-07-03en
dc.description.abstractStuttering can make everyday conversations challenging, especially in situations that involve unfamiliar people or social pressure. While traditional therapy provides structured support, many individuals struggle to apply those techniques in real-world scenarios. Digital speech tools exist, but most focus on repetitive drills and rarely provide realistic, contextdriven speaking practice. We present EaseTalk, an AI-driven mobile application that allows users to practice real-life conversational scenarios in a supportive, self-paced environment. The app uses speech recognition and prompt-engineered large language models (LLMs) to detect speech disfluencies such as repetitions, prolongations and blocks. EaseTalk aims to empower users through independent, scenario-based speech practice with potential applications extending beyond stuttering into areas like social anxiety, interview preparation and language learning.en
dc.description.sponsorshipResearch Ireland (12/RC/2289-P2)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationFaggiani, M., Qirtas, M. M., Frizelle, P., Ryan, F., Muller, N. and Visentin, A. (2025) 'DEMO: EaseTalk: An LLM-driven speech practice tool for real-life scenarios', 2025 IEEE International Conference on Smart Computing (SMARTCOMP), Cork, Ireland, 16-19 June 2025, pp. 246-248. https://doi.org/10.1109/SMARTCOMP65954.2025.00045en
dc.identifier.doi10.1109/smartcomp65954.2025.00045en
dc.identifier.eissn2693-8340en
dc.identifier.endpage248en
dc.identifier.isbn979-8-3315-8646-1en
dc.identifier.isbn979-8-3315-8647-8en
dc.identifier.issn2693-8332en
dc.identifier.startpage246en
dc.identifier.urihttps://hdl.handle.net/10468/18016
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2025 IEEE International Conference on Smart Computing (SMARTCOMP), Cork, Ireland, 16-19 June 2025en
dc.rights© 2025, IEEE. For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectStutteringen
dc.subjectStammeringen
dc.subjectSpeech therapyen
dc.subjectLarge language modelsen
dc.subjectMobile applicationen
dc.titleDEMO: EaseTalk: An LLM-driven speech practice tool for real-life scenariosen
dc.typeConference itemen
dc.typeproceedings-articleen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
EaseTalk_Malik (003).pdf
Size:
347.94 KB
Format:
Adobe Portable Document Format
Description:
Accepted Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Computer Science - Conference Items