Papers by Antoine Laurent
A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study (2020.lrec-1)
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Salima Mdhaffar, Yannick Estève, Antoine Laurent, Nicolas Hernandez, Richard Dufour, Delphine Charlet, Geraldine Damnati, Solen Quiniou, Nathalie Camelin
| Challenge: | a corpus of spontaneous speech is being developed for educational use . the dataset will be freely available to the research community . |
| Approach: | They propose to use a French speech educational corpus to explore synchronous speech transcription and application in teaching situations. |
| Outcome: | The proposed corpus includes 10 hours of lectures, manually transcribed and segmented . the dataset will be freely available to the research community . |
Automatic Speech Interruption Detection: Analysis, Corpus, and System (2024.lrec-main)
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| Challenge: | Interruption detection is a new but challenging task in the field of speech processing. |
| Approach: | They propose to define automatic speech interruption detection and build a specialized corpus to analyze interrupted conversations. |
| Outcome: | The proposed system can detect interruptions in speech with promising results . it can be used to ensure speaking turns are respected during official political debates . |
Where are we in Named Entity Recognition from Speech? (2020.lrec-1)
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| Challenge: | Named entity recognition is usually made through a pipeline process that consists of processing audio and applying a NER to the audio outputs. |
| Approach: | They propose an original 3-pass approach and explore the capability of an E2E system to do structured NER. |
| Outcome: | The proposed system performs better than the current pipeline approach. |
Overlaps and Gender Analysis in the Context of Broadcast Media (2022.lrec-1)
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| Challenge: | Using gender and overlap annotations, we characterise interactions between speakers according to their gender and role in broadcast media. |
| Approach: | They propose to characterise interactions between speakers according to their gender and role in broadcast media by using a small dataset of 93 recordings from LCP French channel. |
| Outcome: | The proposed method could improve the efficiency of qualitative studies conducted in human sciences. |
A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification. (2022.lrec-1)
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Rémi Uro, David Doukhan, Albert Rilliard, Laetitia Larcher, Anissa-Claire Adgharouamane, Marie Tahon, Antoine Laurent
| Challenge: | Existing methods for creating diachronic corpus of voices are based on speaker characteristics and require human intervention. |
| Approach: | They propose to use a semi-automatic pipeline to create a diachronic corpus of voices balanced for speaker’s age, gender and recording period, according to 32 categories. |
| Outcome: | The proposed method cut down on manual annotations by ten and provides high quality speech for most of the selected excerpts. |
Annotation of Transition-Relevance Places and Interruptions for the Description of Turn-Taking in Conversations in French Media Content (2024.lrec-main)
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| Challenge: | Few speech resources describe interruption phenomena, especially for TV and media content. |
| Approach: | They propose to annotation Transition-Relevance Places (TRPs) and Floor-Taking event types on an existing French TV and Radio broadcast corpus to facilitate studies of interruptions and turn-taking. |
| Outcome: | The proposed annotations on an existing French TV and Radio broadcast corpus show they are reliable and reliable . |