| 1 |
MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0
|
|
|
|
In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
End-to-end speaker segmentation for overlap-aware resegmentation
|
|
|
|
In: Interspeech 2021 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-03257524 ; Interspeech 2021, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org/ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
|
|
Carrive, Jean; Beloued, Abdelkrim; Goetschel, Pascale; Heiden, Serge; Laurent, Antoine; Lisena, Pasquale; Mazuet, Franck; Meignier, Sylvain; Pincemin, Bénédicte; Poels, Géraldine; Troncy, Raphaël
|
|
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)
|
|
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.
|
|
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
|
|
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
|
|
BASE
|
|
Hide details
|
|
|
| 4 |
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0 ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Where are we in Named Entity Recognition from Speech?
|
|
|
|
In: 12th International Conference on Language Resources and Evaluation (LREC) ; https://hal.archives-ouvertes.fr/hal-02475026 ; 12th International Conference on Language Resources and Evaluation (LREC), May 2020, Marseille, France ; https://aclanthology.org/2020.lrec-1.556/ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
|
|
|
|
In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02912029 ; Interspeech 2020, Oct 2020, Shanghai, China (2020)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Collective memory shapes the organization of individual memories in the medial prefrontal cortex
|
|
|
|
In: EISSN: 2397-3374 ; Nature Human Behaviour ; https://halshs.archives-ouvertes.fr/halshs-02416130 ; Nature Human Behaviour, Nature Research 2019, ⟨10.1038/s41562-019-0779-z⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Effective keyword search for low-resourced conversational speech
|
|
|
|
In: icassp 2017 ; https://hal.archives-ouvertes.fr/hal-01744176 ; icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States (2017)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
An investigation into language model data augmentation for low-resourced STT and KWS
|
|
|
|
In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01837171 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2017, New Orleans, United States (2017)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Language Recognition for Dialects and Closely Related Languages
|
|
|
|
In: Odyssey 2016 ; https://hal.archives-ouvertes.fr/hal-01744188 ; Odyssey 2016, Jun 2016, Bilbao, Spain (2016)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Language Model Data Augmentation for Keyword Spotting
|
|
|
|
In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837186 ; Annual Conference of the International Speech Communication Association , Jan 2016, San Francisco, United States (2016)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Investigating techniques for low resource conversational speech recognition
|
|
|
|
In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016) ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01515254 ; 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp.5975-5979, ⟨10.1109/ICASSP.2016.7472824⟩ ; www.icassp2016.org (2016)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Investigating Techniques for Low Resource Conversational Speech Recognition
|
|
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Traduction de la parole dans le projet RAPMAT
|
|
|
|
In: Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843418 ; Journées d'Études sur la Parole, Jan 2014, Le Mans, France (2014)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Boosting bonsai trees for efficient features combination : application to speaker role identification
|
|
|
|
In: Interspeech ; https://hal.inria.fr/hal-01025171 ; Interspeech, Sep 2014, Singapour, Singapore (2014)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Development of a Korean speech recognition system with little annontated data
|
|
|
|
In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843405 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St Petersburg, Russia (2014)
|
|
BASE
|
|
Show details
|
|
|
|
|
