Papers by Sylvain Meignier
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 . |
Evaluation of Lifelong Learning Systems (2020.lrec-1)
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| Challenge: | Current intelligent systems need the expensive support of machine learning experts to sustain their performance level when used on a daily basis. |
| Approach: | They propose a generic evaluation methodology for lifelong learning systems . they use "initialisation data" to refer to the set of training, development and test data together . |
| Outcome: | The proposed evaluation method is based on the evaluation of human-assisted learning outside the context of lifelong learning. |
Computer-assisted Speaker Diarization: How to Evaluate Human Corrections (L18-1)
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| Challenge: | a framework to evaluate the human corrections of a speaker diarization is presented for the French National Audiovisual Institute (INA) the speaker diaarization task is a necessary pre-processing step for speaker identification and speech transcription. |
| Approach: | They propose a framework to evaluate the human corrections of a speaker diarization . they propose four elementary actions to correct the diarized speaker and an automaton to simulate the correction sequence. |
| Outcome: | The proposed framework copes with the needs of the French National Audiovisual Institute (INA) due to the increasing number of documents and the limited number of annotators, many documents remain undocumented or only partly documented. |
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. |
Are Embedding Spaces Interpretable? Results of an Intrusion Detection Evaluation on a Large French Corpus (2022.lrec-1)
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| Challenge: | Word embedding methods use word co-occurrences to encode, syntactic and semantic information to describe vocabulary in a low-dimensional space. |
| Approach: | They evaluate word embedding interpretability using two methods . they use a word-in-space vector encoder and graph-based method SPINE . |
| Outcome: | The proposed methods show that they can be interpretable on a large French corpus. |