6 citations · 16 across the 34 of their papers we have counts for
14 papers · 1 filter
GFG -- Gender-Fair Generation: A CALAMITA Challenge
Simona Frenda, Andrea Piergentili, Beatrice Savoldi +7
Gender-fair language aims at promoting gender equality by using terms and expressions that include all identities and avoid reinforcing gender stereotypes. Implementing gender-fair…
Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collection
Beomseok Lee, Marco Gaido, Ioan Calapodescu +2
While crowdsourcing is an established solution for facilitating and scaling the collection of speech data, the involvement of non-experts necessitates protocols to ensure final dat…
Findings of the IWSLT 2024 Evaluation Campaign
Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar +42
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and off…
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
Dennis Fucci, Marco Gaido, Beatrice Savoldi +3
Spurred by the demand for interpretable models, research on eXplainable AI for language technologies has experienced significant growth, with feature attribution methods emerging a…
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Beatrice Savoldi, Sara Papi, Matteo Negri +2
Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people, the final MT users, or…
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages
Marco Gaido, Sara Papi, Luisa Bentivogli +6
The rise of foundation models (FMs), coupled with regulatory efforts addressing their risks and impacts, has sparked significant interest in open-source models. However, existing s…
Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
Beomseok Lee, Ioan Calapodescu, Marco Gaido +2
We present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus. Speech-MASSIVE…
SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation
Sara Papi, Marco Gaido, Matteo Negri +1
This paper describes the FBK's participation in the Simultaneous Translation Evaluation Campaign at IWSLT 2024. For this year's submission in the speech-to-text translation (ST) su…
StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection
Sara Papi, Marco Gaido, Matteo Negri +1
Streaming speech-to-text translation (StreamST) is the task of automatically translating speech while incrementally receiving an audio stream. Unlike simultaneous ST (SimulST), whi…
SBAAM! Eliminating Transcript Dependency in Automatic Subtitling
Marco Gaido, Sara Papi, Matteo Negri +2
Subtitling plays a crucial role in enhancing the accessibility of audiovisual content and encompasses three primary subtasks: translating spoken dialogue, segmenting translations i…
Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models
Andrea Piergentili, Beatrice Savoldi, Matteo Negri +1
Machine translation (MT) models are known to suffer from gender bias, especially when translating into languages with extensive gendered morphology. Accordingly, they still fall sh…
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena
Marco Gaido, Sara Papi, Matteo Negri +1
The attention mechanism, a cornerstone of state-of-the-art neural models, faces computational hurdles in processing long sequences due to its quadratic complexity. Consequently, re…
A Prompt Response to the Demand for Automatic Gender-Neutral Translation
Beatrice Savoldi, Andrea Piergentili, Dennis Fucci +2
Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a pivotal challenge for the creation of more inclusive translation technologies. Advancements fo…
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
Marco Gaido, Sara Papi, Matteo Negri +1
The field of natural language processing (NLP) has recently witnessed a transformative shift with the emergence of foundation models, particularly Large Language Models (LLMs) that…