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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Automatic Speech Recognition and Query By Example for Creole Languages Documentation MACAIRE, Cécile; Schwab, Didier; Lecouteux, Benjamin... In: Findings of the Association for Computational Linguistics: ACL 2022 ; https://hal.archives-ouvertes.fr/hal-03625303 ; Findings of the Association for Computational Linguistics: ACL 2022, May 2022, Dublin, Ireland (2022) BASE Show details 2 Fine-tuning pre-trained models for Automatic Speech Recognition: experiments on a fieldwork corpus of Japhug (Trans-Himalayan family) Guillaume, Séverine; Wisniewski, Guillaume; Macaire, Cécile; Jacques, Guillaume; Michaud, Alexis; Galliot, Benjamin; Coavoux, Maximin; Rossato, Solange; Nguyễn, Minh-Châu; Fily, Maxime In: https://halshs.archives-ouvertes.fr/halshs-03647315 ; 2022 (2022) Abstract: Accepted for publication in Proceedings of ComputEL-5: Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; This is a report on results obtained in the development of speech recognition tools intended to support linguistic documentation efforts. The test case is an extensive fieldwork corpus of Japhug, an endangered language of the Trans-Himalayan (Sino-Tibetan) family. The goal is to reduce the transcription workload of field linguists. The method used is a deep learning approach based on the language-specific tuning of a generic pre-trained representation model, XLS-R, using a Transformer architecture. We note difficulties in implementation, in terms of learning stability. But this approach brings significant improvements nonetheless. The quality of phonemic transcription is improved over earlier experiments; and most significantly, the new approach allows for reaching the stage of automatic word recognition. Subjective evaluation of the tool by the author of the training data confirms the usefulness of this approach. Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Automatic Speech Recognition URL: https://halshs.archives-ouvertes.fr/halshs-03647315/file/ComputEL_5_Japhug_ASR.pdf https://halshs.archives-ouvertes.fr/halshs-03647315/document https://halshs.archives-ouvertes.fr/halshs-03647315 BASE Hide details 3 Fine-tuning pre-trained models for Automatic Speech Recognition: experiments on a fieldwork corpus of Japhug (Trans-Himalayan family) Guillaume, Séverine; Wisniewski, Guillaume; Macaire, Cécile... In: https://halshs.archives-ouvertes.fr/halshs-03647315 ; 2022 (2022) BASE Show details 4 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 5 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 6 Alignement temporel entre transcriptions et audio de données de langue japhug Macaire, Cécile 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-03047146 ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), Dec 2020, Montrouge (virtuel), France. pp.9-22 (2020) BASE Show details 7 Alignement temporel entre transcriptions et audio de données de langue japhug Macaire, Cécile 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-03047146 ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), Dec 2020, Montrouge (virtuel), France. pp.9-22 (2020) BASE Show details

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