18 citations · 96 across the 44 of their papers we have counts for
6 papers · 1 filter
Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection
Dennis Fucci, Marco Gaido, Sara Papi +3
When translating words referring to the speaker, speech translation (ST) systems should not resort to default masculine generics nor rely on potentially misleading vocal traits. Ra…
Leveraging Timestamp Information for Serialized Joint Streaming Recognition and Translation
Sara Papi, Peidong Wang, Junkun Chen +4
The growing need for instant spoken language transcription and translation is driven by increased global communication and cross-lingual interactions. This has made offering transl…
Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023
Sara Papi, Marco Gaido, Matteo Negri
This paper describes the FBK's participation in the Simultaneous Translation and Automatic Subtitling tracks of the IWSLT 2023 Evaluation Campaign. Our submission focused on the us…
Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments
Sara Papi, Peidong Wang, Junkun Chen +3
In real-world applications, users often require both translations and transcriptions of speech to enhance their comprehension, particularly in streaming scenarios where incremental…
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation
Sara Papi, Marco Turchi, Matteo Negri
Attention is the core mechanism of today's most used architectures for natural language processing and has been analyzed from many perspectives, including its effectiveness for mac…
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP
Sara Papi, Marco Gaido, Andrea Pilzer +1
Despite its crucial role in research experiments, code correctness is often presumed only on the basis of the perceived quality of results. This assumption comes with the risk of e…