Marco Matassoni
Marco Matassoni has 4 papers in our library, in 2022–2026, most of them on Speech & spoken language, English, Question answering; often with Alessio Brutti, Stefano Banno, Luisa Bentivogli.
OpenAlex · h-index 17 · 121 works · 1,298 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 24 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7966
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksPsychology · 3 worksDevelopmental and Educational Psychology · 2 worksExperimental and Cognitive Psychology · 1 workSignal Processing · 1 work
🧭 Topics 5Research subjects and languages the work is about.English · 2 worksSpeech & spoken language · 2 worksGrammatical error correction & learner language · 1 workLow-resource languages · 1 workQuestion answering · 1 work
Works by year
2020s
Papers
- Proficiency assessment of L2 spoken English using wav2vec 2.0 (2022 · 35 citations)
The paper tackles automatic grading of spoken English produced by second-language learners. Most earlier graders rely either on hand-engineered features, which may miss useful cues, or on ASR transcripts, which carry recognition errors and lose prosodic information. The authors instead fine-tune the self-supervised… - Cross-corpora experiments of automatic proficiency assessment and error detection for spoken English (2022 · 9 citations)
The paper addresses automatic scoring of spoken answers from learners of English as a second language. Two obstacles motivate it: annotated speech data is scarce, and human raters are often inconsistent. The authors treat grammatical errors as a stable signal of proficiency and transfer knowledge from writing to… - LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering (2026)
The paper asks whether spoken question answering (SQA) can be built for Luxembourgish, a low-resource language, without recording a large human QA speech corpus. - Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASR (2026)
Pseudo-labeling means fine-tuning an ASR model on audio that another system has transcribed automatically.
All works
- Non-native children speech recognition through transfer learning ↗arXiv:1809.09658 · no summary yetMarco Matassoni et al.2018 · 47 citations
- Proficiency assessment of L2 spoken English using wav2vec 2.0IEEE Spoken Language Technology Workshop (SLT)Stefano Banno, Marco Matassoni2022 · 35 citations
- Cross-corpora experiments of automatic proficiency assessment and error detection for spoken EnglishWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Stefano Bannò, Marco Matassoni2022 · 9 citations
- LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026
- Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASRLanguage Resources and Evaluation Conference (LREC)Marco Matassoni, Roberto Gretter, Falavigna Daniele, et al.2026
Co-authors here
- Alessio Brutti ×2
- Stefano Banno ×2
- Luisa Bentivogli
- Marco Gaido
- Matteo Negri
- Mauro Cettolo
- Nina Hosseini-Kivanani
- Sara Papi
Venues
- Workshop on Innovative Use of NLP for Building Educational Applications (BEA): BEA 2022
- IEEE Spoken Language Technology Workshop (SLT): SLT 2022
- Language Resources and Evaluation Conference (LREC): LREC 2026
Cited by
Updated
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