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Hits 1 – 20 of 33
1
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan
;
Federico, Marcello
;
Ma, Xutai
. - : Association for Computational Linguistics, 2022
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2
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Wang, Changhan
;
Rivière, Morgane
;
Lee, Ann
. - : HAL CCSD, 2021
In: https://hal.inria.fr/hal-03329290 ; 2021, ⟨10.18653/v1/2021.acl-long.80⟩ (2021)
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3
Lightweight Adapter Tuning for Multilingual Speech Translation
Le, Hang
;
Pino, Juan
;
Wang, Changhan
...
In: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03294912 ; The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Aug 2021, Bangkok (Virtual), Thailand (2021)
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4
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task ...
Tang, Yun
;
Gong, Hongyu
;
Li, Xian
. - : arXiv, 2021
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5
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation ...
Wang, Changhan
;
Rivière, Morgane
;
Lee, Ann
. - : arXiv, 2021
BASE
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6
Lightweight Adapter Tuning for Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Wang, Changhan
. - : arXiv, 2021
BASE
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7
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling ...
Gong, Hongyu
;
Tang, Yun
;
Pino, Juan
. - : arXiv, 2021
BASE
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8
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Genzel, Dmitriy
;
Li, Xian
. - : Underline Science Inc., 2021
BASE
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9
Lightweight Adapter Tuning for Multilingual Speech Translation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Besacier, Laurent
;
Besacier, laurent.besacier@univ-grenoble-alpes.fr
. - : Underline Science Inc., 2021
BASE
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10
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Auli, Michael
;
Baevski, Alexei
. - : Underline Science Inc., 2021
BASE
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11
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Dupoux, Emmanuel
;
Haziza, dhaziza@fb.com
. - : Underline Science Inc., 2021
BASE
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12
Textless Speech-to-Speech Translation on Real Data ...
Lee, Ann
;
Gong, Hongyu
;
Duquenne, Paul-Ambroise
. - : arXiv, 2021
BASE
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13
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
Le, Hang
;
Pino, Juan
;
Wang, Changhan
...
In: COLING 2020 (long paper) ; https://hal.archives-ouvertes.fr/hal-02991564 ; COLING 2020 (long paper), Dec 2020, Virtual, Spain (2020)
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14
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Wang, Changhan
;
Gu, Jiatao
;
Schwab, Didier
;
Besacier, Laurent
. - : arXiv, 2020
Abstract:
We introduce dual-decoder Transformer, a new model architecture that jointly performs automatic speech recognition (ASR) and multilingual speech translation (ST). Our models are based on the original Transformer architecture (Vaswani et al., 2017) but consist of two decoders, each responsible for one task (ASR or ST). Our major contribution lies in how these decoders interact with each other: one decoder can attend to different information sources from the other via a dual-attention mechanism. We propose two variants of these architectures corresponding to two different levels of dependencies between the decoders, called the parallel and cross dual-decoder Transformers, respectively. Extensive experiments on the MuST-C dataset show that our models outperform the previously-reported highest translation performance in the multilingual settings, and outperform as well bilingual one-to-one results. Furthermore, our parallel models demonstrate no trade-off between ASR and ST compared to the vanilla multi-task ... : Accepted at COLING 2020 (Oral) ...
Keyword:
Audio and Speech Processing eess.AS
;
Computation and Language cs.CL
;
FOS Computer and information sciences
;
FOS Electrical engineering, electronic engineering, information engineering
;
Sound cs.SD
URL:
https://arxiv.org/abs/2011.00747
https://dx.doi.org/10.48550/arxiv.2011.00747
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15
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus ...
Wang, Changhan
;
Pino, Juan
;
Wu, Anne
. - : arXiv, 2020
BASE
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16
CoVoST 2 and Massively Multilingual Speech-to-Text Translation ...
Wang, Changhan
;
Wu, Anne
;
Pino, Juan
. - : arXiv, 2020
BASE
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17
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models ...
Li, Xian
;
Wang, Changhan
;
Tang, Yun
. - : arXiv, 2020
BASE
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18
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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19
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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20
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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