- Silvia Alma Piazzolla. degree obtained: Laura Magistrale – LM, Università di Trento (Italy). Dissertation: “Gender bias in commercial MT systems: a comparative evaluation on the MuST-SHE benchmark”, 2022
- Andrea Piergentili , degree obtained: Laurea Magistrale – LM, Lingue e Culture per la Comunicazione e Cooperazione Internazionale, Università dell’Aquila (Italy). Dissertation: “Creation of a multilingual benchmark for the evaluation of gender neutral automatic translation”, 2022
- Francesca Onorato, degree obtained: Laurea in Computer Science, University of Trento (Italy), Dissertation “Segmentation Strategies for End-to-End Simultaneous Speech Translation”, 2021
- Antonio Vespoli, degree obtained: Laurea in Computer Science, University of Trento (Italy), Dissertation: “Data-to-Text: Generating Forecast Bulletins from Raw Data”, 2020
- Andrea Alfieri, degree obtained: Master of Arts – MA, Specialized Translation, U. Bologna-Forlì, 2020
- Nicholas Ruiz, degree obtained: European Master Erasmus Mundus Language & Communication Technologies, Free University of Bozen-Bolzano, 2011.
- Diego Pineda, degree obtained: European Master in Language and Speech, Universitat Politècnica de Catalunya, 2006. Dissertation: “A Punctuation Detector in Speech Recognition”. Now with SOGETI, Barcelona, Spain.
- Florian Hönig, degree obatined: Master in Electronic Engineering, Erlangen-Nuremberg University, 2005. Dissertation: “Modifications of Perceptual Linear Prediction and the Mel-Frequency Cepstrum”. Now PhD student at Erlangen-Nuremberg University, Germany.
- Michele Vescovi, degree obtained: degree in informatics, U. Trento, Mar 2003. Dissertation: “Algoritmi per la segmentazione audio basati sul criterio di informazione bayesiano: analisi, implementazione e sperimentazione”. Now PhD Student at U. of Trento.
- Erwin Leeuwis, degree obtained: degree in informatics, U. Twente, Feb 2003. Dissertation: “A Language Model for an ASR System for Lectures”. Now at Capgemini, Utrecht Area, Netherlands.
- Nicola Bertoldi, degree obtained: Laurea degree in mathematics, U. Trento, 2000. Dissertation: “Analysis and implementation of Statistical Models for POS tagging”. Now staff researcher at FBK-irst.
- Christian Girardi, degree obtained: degree in informatics, U. Trento, 2000. Dissertation: “Sviluppo di un’interfaccia grafica per un sistema di comunicazione vocale multilingua”. Now at FBK-irst.
🚀 New tech report out! Meet FAMA, our open-science speech foundation model family for both ASR and ST in 🇬🇧 English and 🇮🇹 Italian.
The models are live and ready to try on @huggingface 👇
🔗
#ASR #ST #OpenScience #MultilingualAI
Our pick of the week by @lina_conti: "Languages in Multilingual Speech Foundation Models Align Both Phonetically and Semantically" by @soheunshim, Domenico De Cristofaro, Chengzhi Martin Hu, Alessandro Vietti, and @barbara_plank (2025).
#speech #SFM #multilingual #speechtech
Pick of the week @fbk_mt: https://arxiv.org/abs/2505.19606 by @soheunshim @DomenicoDeCris1. XAI work on cross-lingual alignment in speech-to-text models that disentangles phonetics and semantics. Plus: their XAI insights yield actionable improvements for low-resource language performance.
🚀 New shared task at #WMT2025 (co-located with @emnlpmeeting ): Model Compression for Machine Translation!
Can you shrink an LLM and keep translation quality high?🔧
Submit by July 3 and push the limits of efficient NLP!
👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression
More great news! 🎉
Our paper “Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution” was accepted at #Interspeech2025!
Interested in interpretability for speech models? Preprint coming soon!
✍🏼 @mgaido91, @negri_teo, M.Cettolo, @luisabentivogli