Automatic Rating of Spontaneous Speech for Low-Resource Languages

Ragheb Al-Ghezi, Yaroslav Getman, Ekaterina Voskoboinik, Mittul Singh, Mikko Kurimo

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

Automatic spontaneous speaking assessment systems bring numerous advantages to second language (L2) learning and assessment such as promoting self-learning and reducing language teachers' workload. Conventionally, these systems are developed for languages with a large number of learners due to the abundance of training data, yet languages with fewer learners such as Finnish and Swedish remain at a disadvantage due to the scarcity of required training data. Nevertheless, recent advancements in self-supervised deep learning make it possible to develop automatic speech recognition systems with a reasonable amount of training data. In turn, this advancement makes it feasible to develop systems for automatically assessing spoken proficiency of learners of underresourced languages: L2 Finnish and Finland Swedish. Our work evaluates the overall performance of the L2 ASR systems as well as the the rating systems compared to human reference ratings for both languages.

AlkuperäiskieliEnglanti
Otsikko2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings
KustantajaIEEE
Sivut339-345
Sivumäärä7
ISBN (elektroninen)979-8-3503-9690-4
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE Spoken Language Technology Workshop - Doha, Qatar
Kesto: 9 tammik. 202312 tammik. 2023

Julkaisusarja

Nimi2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings

Conference

ConferenceIEEE Spoken Language Technology Workshop
LyhennettäSLT
Maa/AlueQatar
KaupunkiDoha
Ajanjakso09/01/202312/01/2023

Sormenjälki

Sukella tutkimusaiheisiin 'Automatic Rating of Spontaneous Speech for Low-Resource Languages'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.
  • DigiTala: Aka-Digi Tala

    Kurimo, M., Al-Ghezi, R., Getman, Y. & Voskoboinik, E.

    01/09/201931/08/2023

    Projekti: Academy of Finland: Other research funding

Siteeraa tätä