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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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| 45 |
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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| 46 |
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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| 47 |
A Data Efficient End-To-End Spoken Language Understanding Architecture ...
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| 48 |
Enabling Interactive Transcription in an Indigenous Community ...
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| 49 |
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
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| 50 |
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
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| 51 |
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ...
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| 52 |
Ouvrir aux linguistes « de terrain » un accès à la transcription automatique
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In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT) ; https://hal.archives-ouvertes.fr/hal-03047148 ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), 2020, Montrouge, France. pp.83-94 (2020)
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| 53 |
Phonemic transcription of low-resource languages: To what extent can preprocessing be automated?
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In: 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop ; https://halshs.archives-ouvertes.fr/hal-02513914 ; 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop, 2020, Marseille, France. pp.306-315 ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLbook.pdf (2020)
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Controlling Utterance Length in NMT-based Word Segmentation with Attention
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343206 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China (2019)
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| 55 |
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
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In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02193867 ; Interspeech 2019, Sep 2019, Graz, Austria (2019)
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| 56 |
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech
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In: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) ; https://hal.archives-ouvertes.fr/hal-02359540 ; Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), Nov 2019, Hong Kong, China. pp.339-348, ⟨10.18653/v1/K19-1032⟩ (2019)
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| 57 |
The Zero Resource Speech Challenge 2019: TTS without T
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In: Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02274112 ; Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese
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In: International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-02013984 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.8618-8622, ⟨10.1109/ICASSP.2019.8683069⟩ (2019)
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A neural approach for inducing multilingual resources and natural language processing tools for low-resource languages
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In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://hal.archives-ouvertes.fr/hal-01976297 ; Natural Language Engineering, Cambridge University Press (CUP), 2019, 25 (01), pp.43-67. ⟨10.1017/S1351324918000293⟩ (2019)
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How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
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In: Journées Scientifiques du Groupement de Recherche: Linguistique Informatique, Formelle et de Terrain (LIFT). ; https://hal.archives-ouvertes.fr/hal-02895895 ; Journées Scientifiques du Groupement de Recherche: Linguistique Informatique, Formelle et de Terrain (LIFT)., Nov 2019, Orléans, France (2019)
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