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We present SpeechMatrix, a large-scale multilingual corpus of speech-to-speech translations mined from real speech of European Parliament recordings.
Multilingual universal sentence encoder for semantic retrieval
Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2019b · 1907
Earlier work this paper cites.
Sentence-BERT: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
Earlier work this paper cites.
Mining the Web for Bilingual Text
Philip Resnik. 1999 · 1999
Earlier work this paper cites.
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora
Dragos Stefan Munteanu and Daniel Marcu. 2005 · 2005
Earlier work this paper cites.
The ATR multilingual speech-to-speech translation system
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Earlier work this paper cites.
Language-agnostic bert sentence embedding
Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, and Wei Wang. 2020 · 2007
Earlier work this paper cites.
On the Use of Comparable Corpora to Improve SMT performance
Sadaf Abdul-Rauf and Holger Schwenk. 2009 · 2009
Earlier work this paper cites.
Fisher and callhome spanish–english speech translation
Matt Post, Gaurav Kumar, Adam Lopez, Damianos Karakos, Chris Callison-Burch, and Sanjeev Khudanpur. 2014 · 2014
Earlier work this paper cites.
Improving translation of emphasis with pause prediction in speech-to-speech translation systems
Quoc Truong Do, Sakriani Sakti, Graham Neubig, Tomoki Toda, and Satoshi Nakamura. 2015 · 2015
Earlier work this paper cites.
MuST-C: a Multilingual Speech Translation Corpus
Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2019 · 2017
Earlier work this paper cites.
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification
Cristina España-Bonet, Ádám Csaba Varga, Alberto Barrón-Cedeño, and Josef van Genabith. 2017 · 2017
Earlier work this paper cites.
Learning joint multilingual sentence representations with neural machine translation
Holger Schwenk and Matthijs Douze. 2017 · 2017
Earlier work this paper cites.
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe and Holger Schwenk. 2018 · 2018
Earlier work this paper cites.
H2@BUCC18: Parallel Sentence Extraction from Comparable Corpora Using Multilingual Sentence Embeddings
Houda Bouamor and Hassan Sajjad. 2018 · 2018
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Filtering and mining parallel data in a joint multilingual space
Holger Schwenk. 2018 · 2018
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Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk. 2019 · 2019
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Direct speech-to-speech translation with a sequence-to-sequence model
Ye Jia, Ron J. Weiss, Fadi Biadsy, Wolfgang Macherey, Melvin Johnson, Zhifeng Chen, and Yonghui Wu. 2019 · 2019
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CSS10: A collection of single speaker speech datasets for 10 languages
Kyubyong Park and Thomas Mulc. 2019 · 2019
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Common voice: A massively-multilingual speech corpus
Rosana Ardila, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer, Michael Henretty, Reuben Morais, Lindsay Saunders, Francis M. Tyers, and Gregor Weber. 2020 · 2020
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wav2vec 2.0: A framework for self-supervised learning of speech representations
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Mass: A large and clean multilingual corpus of sentence-aligned spoken utterances extracted from the bible
Marcely Zanon Boito, William Havard, Mahault Garnerin, Éric Le Ferrand, and Laurent Besacier. 2020 · 2020
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Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
Adam Polyak, Yossi Adi, Jade Copet, Eugene Kharitonov, Kushal Lakhotia, Wei-Ning Hsu, Abdelrahman Mohamed, and Emmanuel Dupoux. 2021 · 2021
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The multilingual tedx corpus for speech recognition and translation
Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, and Matt Post. 2021 · 2021
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Ccmatrix: Mining billions of high-quality parallel sentences on the web
Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, and Angela Fan. 2021b · 2021
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Voxpopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation
Changhan Wang, Morgane Rivière, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Miguel Pino, and Emmanuel Dupoux. 2021a · 2021
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Real time speech enhancement in the waveform domain
Alexandre Defossez, Gabriel Synnaeve, and Yossi Adi. 2020 · 2020
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Beyond english-centric multilingual machine translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin. 2020 · 2020
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Europarl-st: A multilingual corpus for speech translation of parliamentary debates
Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Javier Jorge, Nahuel Roselló, Adrià Giménez, Albert Sanchís, Jorge Civera, and Alfons Juan. 2020 · 2020
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Multilingual denoising pre-training for neural machine translation
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, and Luke Zettlemoyer. 2020 · 2020
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Making monolingual sentence embeddings multilingual using knowledge distillation
Nils Reimers and Iryna Gurevych. 2020 · 2020
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Covost: A diverse multilingual speech-to-text translation corpus
Changhan Wang, Juan Pino, Anne Wu, and Jiatao Gu. 2020 · 2020
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XLS-R: self-supervised cross-lingual speech representation learning at scale
Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, and Michael Auli. 2021 · 2021
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Barret Zoph, Irwan Bello, Sameer Kumar, Nan Du, Yanping Huang, Jeff Dean, Noam Shazeer, and William Fedus. 2022 · 2021
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FLEURS: few-shot learning evaluation of universal representations of speech
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Direct speech-to-speech translation with discrete units
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Textless speech-to-speech translation on real data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Yossi Adi, Juan Pino, Jiatao Gu, and Wei-Ning Hsu. 2022b · 2022
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No language left behind: Scaling human-centered machine translation
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