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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.

4 papers in our library · 2022–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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…
  3. 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.
  4. 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

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Non-native children speech recognition through transfer learning ↗arXiv:1809.09658 · no summary yetMarco Matassoni et al.2018 · 47 citations
  2. LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 24 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

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