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05/19/2023
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation
Attention is the core mechanism of today's most used architectures for n...
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12/15/2022
Attention as a guide for Simultaneous Speech Translation
The study of the attention mechanism has sparked interest in many fields...
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10/21/2022
Joint Speech Translation and Named Entity Recognition
Modern automatic translation systems aim at place the human at the cente...
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09/27/2022
Direct Speech Translation for Automatic Subtitling
Automatic subtitling is the task of automatically translating the speech...
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09/21/2022
Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora
Speech translation for subtitling (SubST) is the task of automatically t...
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06/12/2022
Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation
Simultaneous speech translation (SimulST) systems aim at generating thei...
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05/13/2022
Who Are We Talking About? Handling Person Names in Speech Translation
Recent work has shown that systems for speech translation (ST) – similar...
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05/05/2022
Efficient yet Competitive Speech Translation: FBK@IWSLT2022
The primary goal of this FBK's systems submission to the IWSLT 2022 offl...
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04/08/2022
Does Simultaneous Speech Translation need Simultaneous Models?
In simultaneous speech translation (SimulST), finding the best trade-off...
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03/18/2022
Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation
Gender bias is largely recognized as a problematic phenomenon affecting ...
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10/31/2021
Visualization: the missing factor in Simultaneous Speech Translation
Simultaneous speech translation (SimulST) is the task in which output ge...
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09/15/2021
Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation
Automatic translation systems are known to struggle with rare words. Amo...
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09/09/2021
Speechformer: Reducing Information Loss in Direct Speech Translation
Transformer-based models have gained increasing popularity achieving sta...
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07/19/2021
Simultaneous Speech Translation for Live Subtitling: from Delay to Display
With the increased audiovisualisation of communication, the need for liv...
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07/13/2021
Between Flexibility and Consistency: Joint Generation of Captions and Subtitles
Speech translation (ST) has lately received growing interest for the gen...
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06/23/2021
Dealing with training and test segmentation mismatch: FBK@IWSLT2021
This paper describes FBK's system submission to the IWSLT 2021 Offline S...
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06/02/2021
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?
Five years after the first published proofs of concept, direct approache...
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05/28/2021
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation
Having recognized gender bias as a major issue affecting current transla...
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04/23/2021
Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation
The audio segmentation mismatch between training data and those seen at ...
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04/13/2021
Gender Bias in Machine Translation
Machine translation (MT) technology has facilitated our daily tasks by p...
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03/10/2021
Self-Learning for Zero Shot Neural Machine Translation
Neural Machine Translation (NMT) approaches employing monolingual data a...
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02/02/2021
The Multilingual TEDx Corpus for Speech Recognition and Translation
We present the Multilingual TEDx corpus, built to support speech recogni...
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02/02/2021
CTC-based Compression for Direct Speech Translation
Previous studies demonstrated that a dynamic phone-informed compression ...
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12/09/2020
On Knowledge Distillation for Direct Speech Translation
Direct speech translation (ST) has shown to be a complex task requiring ...
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12/09/2020
Breeding Gender-aware Direct Speech Translation Systems
In automatic speech translation (ST), traditional cascade approaches inv...
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09/10/2020
On Target Segmentation for Direct Speech Translation
Recent studies on direct speech translation show continuous improvements...
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08/05/2020
Contextualized Translation of Automatically Segmented Speech
Direct speech-to-text translation (ST) models are usually trained on cor...
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06/10/2020
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
Translating from languages without productive grammatical gender like En...
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06/04/2020
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020
This paper describes FBK's participation in the IWSLT 2020 offline speec...
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06/01/2020
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?
Subtitling is becoming increasingly important for disseminating informat...
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03/31/2020
Low Resource Neural Machine Translation: A Benchmark for Five African Languages
Recent advents in Neural Machine Translation (NMT) have shown improvemen...
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02/25/2020
MuST-Cinema: a Speech-to-Subtitles corpus
Growing needs in localising audiovisual content in multiple languages th...
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10/30/2019
Adapting Multilingual Neural Machine Translation to Unseen Languages
Multilingual Neural Machine Translation (MNMT) for low-resource language...
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10/23/2019
Instance-Based Model Adaptation For Direct Speech Translation
Despite recent technology advancements, the effectiveness of neural appr...
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10/08/2019
One-To-Many Multilingual End-to-end Speech Translation
Nowadays, training end-to-end neural models for spoken language translat...
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10/01/2019
Machine Translation for Machines: the Sentiment Classification Use Case
We propose a neural machine translation (NMT) approach that, instead of ...
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09/16/2019
Multilingual Neural Machine Translation for Zero-Resource Languages
In recent years, Neural Machine Translation (NMT) has been shown to be m...
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11/04/2018
Improving Zero-Shot Translation of Low-Resource Languages
Recent work on multilingual neural machine translation reported competit...
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11/03/2018
Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary
We propose a method to transfer knowledge across neural machine translat...
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10/16/2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018
This paper describes FBK's submission to the end-to-end English-German s...
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03/20/2018
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing
Training models for the automatic correction of machine-translated text ...
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07/31/2017
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English
The necessity of using a fixed-size word vocabulary in order to control ...
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06/22/2017
Automatic Quality Estimation for ASR System Combination
Recognizer Output Voting Error Reduction (ROVER) has been widely used fo...
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02/06/2017
DNN adaptation by automatic quality estimation of ASR hypotheses
In this paper we propose to exploit the automatic Quality Estimation (QE...
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10/30/2015
