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Hippocampal and auditory contributions to speech segmentation
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In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03604957 ; Cortex, Elsevier, 2022, ⟨10.1016/j.cortex.2022.01.017⟩ (2022)
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Speaking clearly improves speech segmentation by statistical learning under optimal listening conditions ...
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| 3 |
The effect of lengthening aspiration on speech segmentation ...
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| 4 |
End-to-end speaker segmentation for overlap-aware resegmentation
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In: Interspeech 2021 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-03257524 ; Interspeech 2021, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org/ (2021)
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Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation
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In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03372487 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021)
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Oscillatory activity and EEG phase synchrony of concurrent word segmentation and meaning-mapping in 9-year-old children
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In: ISSN: 1878-9293 ; EISSN: 1878-9307 ; Developmental Cognitive Neuroscience ; https://hal.archives-ouvertes.fr/hal-03334735 ; Developmental Cognitive Neuroscience, Elsevier, 2021, 51, pp.101010. ⟨10.1016/j.dcn.2021.101010⟩ (2021)
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| 7 |
Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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Carrive, Jean; Beloued, Abdelkrim; Goetschel, Pascale; Heiden, Serge; Laurent, Antoine; Lisena, Pasquale; Mazuet, Franck; Meignier, Sylvain; Pincemin, Bénédicte; Poels, Géraldine; Troncy, Raphaël
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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Abstract:
Editors: Taylor Arnold, Jasmijn van Gorp, Stefania Scagliola, and Lauren Tilton ; International audience ; The ANTRACT project is a cross-disciplinary apparatus dedicated to the analysis of the French newsreel company Les Actualités Françaises (1945-1969) and its film productions. Founded during the liberation of France, this state-owned company filmed more than 20,000 news reports shown in French cinemas and throughout the world over its 24 years of activity. The project brings together research organizations with a dual historical and technological perspective. ANTRACT’s goal is to study the production process, the film content, the way historical events are represented and the audience reception of Les Actualités Françaises newsreels using innovative AI-based data processing tools developed by partners specialized in image, audio, and text analysis.This article focuses on the data processing apparatus and tools of the project. Automatic content analysis is used to select data, to segment video units and typescript images, and to align them with their archival description. Automatic speech recognition provides a textual representation and natural language processing can extract named entities from the voice-over recording; automatic visual analysis is applied to detect and recognize faces of well-known characters in videos. These multifaceted data can then be queried and explored with the TXM text-mining platform.The results of these automatic analysis processes are feeding the Okapi platform, a client-server software that integrates documentation, information retrieval, and hypermedia capabilities within a single environment based on the Semantic Web standards. The complete corpus of Les Actualités Françaises, enriched with data and metadata, will be made available to the scientific community by the end of the project.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [SHS.HIST]Humanities and Social Sciences/History; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Audiovisual archives; Automatic alignment of video with text; Automatic face recognition; Automatic speech recognition; Automatic video segmentation; Automatic visual analysis; Contemporary history; Cross-disciplinary approach; Digital Humanities; FaceRec software; Knowledge management; Les Actualités françaises; Media history; Multimedia content annotation; Newsreels; Okapi software; Open-source software; Qualitative text analysis; Quantitative text analysis; Semantic web; Text mining; Textometry; TXM software
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URL: https://hal.archives-ouvertes.fr/hal-03166755/file/antract_carrive_al_dhq21_200712.pdf
https://hal.archives-ouvertes.fr/hal-03166755/document
https://hal.archives-ouvertes.fr/hal-03166755
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| 8 |
Speaking clearly improves speech segmentation by statistical learning under optimal listening conditions
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 14 ; 1868-6354 (2021)
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| 11 |
Production of nonce words to establish the cues for prominence and grouping in English ...
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| 12 |
Early Tashelhiyt Berber word segmentation: the role of the Possible Word Constraint ...
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| 14 |
The Iambic Trochaic Law in speech: The case of Japanese ...
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| 16 |
Developing Core Technologies for Resource-Scarce Nguni Languages
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In: Information; Volume 12; Issue 12; Pages: 520 (2021)
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Discovering structure in speech recordings: Unsupervised learning of word and phoneme like units for automatic speech recognition
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In: Fraunhofer IAIS (2021)
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| 18 |
Projecting action spaces. On the interactional relevance of cesural areas in co-enactments
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In: Open Linguistics, Vol 7, Iss 1, Pp 638-665 (2021) (2021)
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| 19 |
Streaming cascade-based speech translation leveraged by a direct segmentation model
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| 20 |
Developing Resources for Automated Speech Processing of Quebec French
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03042864 ; 12th Language Resources and Evaluation Conference, 2020, marseille, France. pp.5323-5328 (2020)
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