CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI

Nhan Phan Chi, Anna von Zansen, Maria Kautonen, Tamás Grósz, Mikko Kurimo

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

2 Lataukset (Pure)

Abstrakti

We introduce the CaptainA mobile app, designed to meet
the needs of second language (L2) learners engaged in self-
study of Finnish, with potential applicability to other languages.
Our app can provide automatic speaking assessment (ASA) of
task completion in picture-based tasks, along with grading ex-
planations and corrective feedback. It can also automatically
generate pictures for visual tasks, providing users with unlim-
ited practice opportunities. The mobile app is based on our
framework that combines visual natural language generation
(NLG), automatic speech recognition (ASR), and prompting
large language model (LLM) for low-resource language. Our
goal is to promote the development of next-generation speech-
based computer-assisted language learning (CALL) systems ca-
pable of providing automatic scoring with feedback for learn-
ers, even when minimal speech data of L2 learners is available.
While the mobile app demonstration is designed for Finnish, the
app can also be tested in English.
AlkuperäiskieliEnglanti
OtsikkoInterspeech 2024
KustantajaInternational Society for Computers and Their Applications (ISCA)
Sivut5212-5213
Sivumäärä2
TilaJulkaistu - 1 syysk. 2024
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInterspeech - Kos Island, Kreikka
Kesto: 1 syysk. 20245 syysk. 2024

Julkaisusarja

NimiInterspeech
ISSN (elektroninen)2308-457X

Conference

ConferenceInterspeech
Maa/AlueKreikka
KaupunkiKos Island
Ajanjakso01/09/202405/09/2024

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