Benjamin Lecouteux

546 citations
17 papers · 123 · h-index 6

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling

Papers in

    • Speech Recognition and Synthesis 10
    • Natural Language Processing Techniques 9
    • Speech and dialogue systems 6
    • Topic Modeling 5
    • Text Readability and Simplification 3
    • Speech and Audio Processing 6
    • Music and Audio Processing 3

Benjamin Lecouteux

16 papers receiving 113 citations

Peers

Benjamin Lecouteux
Comparison fields: 5 of 31
  • Signal Processing 53
  • Artificial Intelligence 98
  • Computer Vision and Pattern Recognition 18
  • Language and Linguistics 5
  • Occupational Therapy 2
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Countries citing papers authored by Benjamin Lecouteux

Since Specialization
Citations

This map shows the geographic impact of Benjamin Lecouteux's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin Lecouteux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Lecouteux more than expected).

Fields of papers citing papers by Benjamin Lecouteux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Lecouteux. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin Lecouteux. The network helps show where Benjamin Lecouteux may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin Lecouteux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Lecouteux Line = papers co-authored together Benjamin Lecouteux links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202134
2 201130
3 201110
4 20137
5 20087
6 20156
7
Using Resources from a Closely-related Language to Develop ASR for a Very Under-resourced Language: A Case Study for Iban
20155
8 20185
9 20134
10 20174
11 20223
12 20102
13 20152
14 20072
15
Simplification Strategies in French Spontaneous Speech
20241
16 20221
17
FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français
20200

About Benjamin Lecouteux

Benjamin Lecouteux is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Social Psychology and Language and Linguistics, having authored 17 papers that have together received 123 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (9 papers), Speech and Audio Processing (6 papers), Speech and dialogue systems (6 papers), Topic Modeling (5 papers), Music and Audio Processing (3 papers), Text Readability and Simplification (3 papers) and IoT-based Smart Home Systems (1 paper). The work is most often cited by research in Signal Processing (53 citations), Artificial Intelligence (98 citations), Computer Vision and Pattern Recognition (18 citations), Language and Linguistics (5 citations) and Occupational Therapy (2 citations). Benjamin Lecouteux has collaborated with scholars based in France, Switzerland and Türkiye. Frequent co-authors include François Portet, Michel Vacher, Georges Linarès, Laurent Besacier, Yannick Estève, Guillaume Gravier, Didier Schwab, Marco Dinarelli, Laurent Besacier and Natalia Tomashenko. Their work appears in journals such as Computer Speech & Language, Natural Language Engineering, Machine Translation, Data & Knowledge Engineering and IEEE Transactions on Audio Speech and Language Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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