Laurent Besacier

729 total citations · 1 hit paper
7 papers, 332 citations indexed

About

Laurent Besacier is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laurent Besacier has authored 7 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laurent Besacier's work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Laurent Besacier is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Laurent Besacier collaborates with scholars based in France, South Africa and Germany. Laurent Besacier's co-authors include Etienne Barnard, Tanja Schultz, Alexey Karpov, Georges Quénot, Jean-François Bonastre, Tien-Ping Tan, Daniel Moraru, Stéphane Ayache and Brigitte Bigi and has published in prestigious journals such as The Journal of the Acoustical Society of America, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Laurent Besacier

7 papers receiving 279 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic speech recognition for under-resourced languages: A survey

2013 285 citations Laurent Besacier, Etienne Barnard et al. Speech Communication profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laurent Besacier France	5	278	165	41	32	17	7	332
Djamel Mostefa France	9	343 1.2×	126 0.8×	41 1.0×	55 1.7×	12 0.7×	31	396
Preethi Jyothi India	12	415 1.5×	198 1.2×	65 1.6×	58 1.8×	13 0.8×	78	484
Tanel Alumäe Estonia	11	427 1.5×	118 0.7×	46 1.1×	19 0.6×	10 0.6×	49	484
Josef Psutka Czechia	11	385 1.4×	187 1.1×	52 1.3×	34 1.1×	8 0.5×	54	457
Beatrice T. Oshika United States	8	364 1.3×	251 1.5×	30 0.7×	78 2.4×	16 0.9×	20	416
Victor Abrash United States	11	471 1.7×	217 1.3×	38 0.9×	64 2.0×	21 1.2×	25	527
Tim Schlippe Germany	13	435 1.6×	124 0.8×	25 0.6×	55 1.7×	21 1.2×	41	516
Norbert Braunschweiler United Kingdom	12	422 1.5×	274 1.7×	34 0.8×	128 4.0×	10 0.6×	34	491
M. Bisani Germany	9	795 2.9×	232 1.4×	85 2.1×	39 1.2×	15 0.9×	11	844
Harald Höge Germany	11	362 1.3×	280 1.7×	49 1.2×	51 1.6×	12 0.7×	52	428

Countries citing papers authored by Laurent Besacier

Since Specialization

Citations

This map shows the geographic impact of Laurent Besacier'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 Laurent Besacier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Besacier more than expected).

Fields of papers citing papers by Laurent Besacier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurent Besacier. 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 Laurent Besacier. The network helps show where Laurent Besacier may publish in the future.

Co-authorship network of co-authors of Laurent Besacier

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Besacier. A scholar is included among the top collaborators of Laurent Besacier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laurent Besacier. Laurent Besacier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Besacier, Laurent, et al.. (2014). Unsupervised Speaker Identification in TV Broadcast Based on Written Names. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(1). 57–68. 16 indexed citations

2.

Besacier, Laurent, Etienne Barnard, Alexey Karpov, & Tanja Schultz. (2013). Automatic speech recognition for under-resourced languages: A survey. Speech Communication. 56. 85–100. 285 indexed citations breakdown →

3.

Besacier, Laurent, et al.. (2008). Word/sub-word lattices decomposition and combination for speech recognition. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 23. 4321–4324. 5 indexed citations

4.

Tan, Tien-Ping & Laurent Besacier. (2007). Acoustic Model Interpolation for Non-Native Speech Recognition. IV–1009. 10 indexed citations

5.

Besacier, Laurent, Georges Quénot, Stéphane Ayache, & Daniel Moraru. (2004). Video story segmentation with multi-modal features. 221–227. 2 indexed citations

6.

Besacier, Laurent & Jean-François Bonastre. (2002). Frame pruning for speaker recognition. 2. 765–768. 10 indexed citations

7.

Besacier, Laurent, et al.. (1999). Automatic classification of wideband acoustic signals. The Journal of the Acoustical Society of America. 105(2_Supplement). 1359–1360. 4 indexed citations

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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