Publications

  1. Gaido, M., Papi, S., Negri, M., & Bentivogli, L. (2024). How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena. arXiv preprint arXiv:2402.13208.
  2. Gaido, M., Papi, S., Negri, M., & Bentivogli, L. (2024). Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?. arXiv preprint arXiv:2402.12025.
  3. Savoldi, B., Gaido, M., Negri, M., & Bentivogli, L. (2023). Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES. arXiv preprint arXiv:2310.19345.
  4. Gaido, M., Fucci, D., Negri, M., & Bentivogli, L. (2023). How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation. CLiC-it 2023: 9th Italian Conference on Computational Linguistics.
  5. Fucci, D., Gaido, M., Papi, S., Cettolo, M., Negri, M., & Bentivogli, L. (2023). Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
  6. Fucci, D., Gaido, M., Negri, M., Cettolo, M., & Bentivogli, L. (2023). No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation. 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
  7. Papi, S., Gaido, M., & Negri, M. (2023). Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@ IWSLT2023. Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023).
  8. Gaido, M. (2023). Direct Speech Translation Toward High-Quality, Inclusive, and Augmented Systems. .
  9. Gaido, M. (2023). Distributed Silhouette Algorithm: Evaluating Clustering on Big Data. arXiv preprint arXiv:2303.14102.
  10. Papi, S., Gaido, M., Negri, M., & Pilzer, A. (2023). When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP. arXiv preprint arXiv:2303.16166.
  11. Gaido, M., Tang, Y., Kulikov, I., Huang, R., Gong, H., & Inaguma, H. (2023). Named Entity Detection and Injection for Direct Speech Translation. ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  12. Gaido, M., Papi, S., Negri, M., & Turchi, M. (2022). Joint Speech Translation and Named Entity Recognition. INTERSPEECH 2023.
  13. Papi, S., Gaido, M., Karakanta, A., Cettolo, M., Negri, M., & Turchi, M. (2022). Direct Speech Translation for Automatic Subtitling. Transactions of the Association for Computational Linguistics.
  14. Gaido, M., Negri, M., & Turchi, M. (2022). Direct Speech-to-Text Translation Models as Students of Text-to-Text Models. IJCoL. Italian Journal of Computational Linguistics.
  15. Savoldi, B., Gaido, M., Bentivogli, L., Negri, M., & Turchi, M. (2022). On the Dynamics of Gender Learning in Speech Translation. Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP).
  16. Papi, S., Gaido, M., Negri, M., & Turchi, M. (2022). Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation. Proceedings of the Third Workshop on Automatic Simultaneous Translation.
  17. Bentivogli, L., Cettolo, M., Gaido, M., Karakanta, A., Negri, M., & Turchi, M. (2022). Extending the MuST-C Corpus for a Comparative Evaluation of Speech Translation Technology. Proceedings of the 23rd Annual Conference of the European Association for Machine Translation.
  18. Gaido, M., Negri, M., & Turchi, M. (2022). Who Are We Talking About? Handling Person Names in Speech Translation. Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022).
  19. Gaido, M., Papi, S., Fucci, D., Fiameni, G., Negri, M., & Turchi, M. (2022). Efficient yet Competitive Speech Translation: FBK@ IWSLT2022. Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022).
  20. Papi, S., Gaido, M., Negri, M., & Turchi, M. (2022). Does Simultaneous Speech Translation need Simultaneous Models?. Findings of the Association for Computational Linguistics: EMNLP 2022.

You can also find the full list of my articles on my Google Scholar profile.