Inferring missing metadata from environmental policy texts. - Steven Bethard; Egoitz Laparra; Sophia Wang; Yiyun Zhao; Ragheb Al-Ghezi; Aaron Lien; Laura López-Hoffman (LaTeCH@NAACL-HLT, 2019)

Self-Supervised End-to-End ASR for Low Resource L2 Swedish. - Ragheb Al-Ghezi; Yaroslav Getman; Aku Rouhe; Raili Hildén; Mikko Kurimo (Interspeech, 2021)

wav2vec2-based Speech Rating System for Children with Speech Sound Disorder. - Yaroslav Getman; Ragheb Al-Ghezi; Katja Voskoboinik; Tamás Grósz; Mikko Kurimo; Giampiero Salvi; Torbjørn Svendsen; Sofia Strömbergsson (INTERSPEECH, 2022)

Automatic Rating of Spontaneous Speech for Low-Resource Languages. - Ragheb Al-Ghezi; Yaroslav Getman; Ekaterina Voskoboinik; Mittul Singh; Mikko Kurimo (SLT, 2022)

Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model. - Tamás Grósz; Yaroslav Getman; Ragheb Al-Ghezi; Aku Rouhe; Mikko Kurimo (INTERSPEECH, 2023)

Multi-task wav2vec2 Serving as a Pronunciation Training System for Children. - Yaroslav Getman; Ragheb Al-Ghezi; Tamás Grósz; Mikko Kurimo (SLaTE, 2023)

A pronunciation Scoring System Embedded into Children's Foreign Language Learning Games with Experimental Verification of Learning Benefits. - Reima Karhila; Sari Ylinen; Anna-Riikka Smolander; Aku Rouhe; Ragheb Al-Ghezi; Yaroslav Getman; Tamás Grósz; Maria Uther; Mikko Kurimo (SLaTE, 2023)

New data, benchmark and baseline for L2 speaking assessment for low-resource languages. - Mikko Kurimo; Yaroslav Getman; Ekaterina Voskoboinik; Ragheb Al-Ghezi; Heini Kallio; Mikko Kuronen; Anna von Zansen; Raili Hildén; Sirkku Kronholm; Ari Huhta; Krister Lindén (SLaTE, 2023)

Multilingual TTS Accent Impressions for Accented ASR. - Georgios Karakasidis; Nathaniel R. Robinson; Yaroslav Getman; Atieno Ogayo; Ragheb Al-Ghezi; Ananya Ayasi; Shinji Watanabe 001; David R. Mortensen; Mikko Kurimo (TSD, 2023)

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children. - Yaroslav Getman; Nhan Phan; Ragheb Al-Ghezi; Ekaterina Voskoboinik; Mittul Singh; Tamás Grósz; Mikko Kurimo; Giampiero Salvi; Torbjørn Svendsen; Sofia Strömbergsson; Anna-Riikka Smolander; Sari Ylinen (IEEE Access, 2023)

Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks. - Anssi Moisio; Dejan Porjazovski; Aku Rouhe; Yaroslav Getman; Anja Virkkunen; Ragheb Al-Ghezi; Mietta Lennes; Tamás Grósz; Krister Lindén; Mikko Kurimo (Lang. Resour. Evaluation, 2023)

Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data. - Tin Mei Lun; Ekaterina Voskoboinik; Ragheb Al-Ghezi; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

Use of Self-Supervised Learning in Automated Speaking Scoring for Low Resource Languages. - Ragheb Al-Ghezi (2024)