Julien Karadayi

756 total citations · 1 hit paper
10 papers, 389 citations indexed

About

Julien Karadayi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julien Karadayi has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Julien Karadayi's work include Speech Recognition and Synthesis (7 papers), Music and Audio Processing (4 papers) and Speech and Audio Processing (4 papers). Julien Karadayi is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Music and Audio Processing (4 papers) and Speech and Audio Processing (4 papers). Julien Karadayi collaborates with scholars based in France, United States and Argentina. Julien Karadayi's co-authors include Emmanuel Dupoux, Gabriel Synnaeve, Pierre-Emmanuel Mazaré, Qinmei Xu, Christian Fuegen, Eugene Kharitonov, Vitaliy Liptchinsky, Jacob Kahn, T. Likhomanenko and Ronan Collobert and has published in prestigious journals such as The Journal of the Acoustical Society of America, Speech Communication and Transactions of the Association for Computational Linguistics.

In The Last Decade

Julien Karadayi

10 papers receiving 369 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.

Libri-Light: A Benchmark for ASR with Limited or No Supervision

2020 278 citations Jacob Kahn, Wenlong Zheng et al. arXiv (Cornell University) profile →

Peers

Julien Karadayi

AI

SP

ECP

DEP

CVPR

Hervé Bredin France

Carlos Vaquero Spain

V.R.R. Gadde United States

György Szaszák Hungary

Julie Carson-Berndsen Ireland

Norbert Braunschweiler United Kingdom

Éva Székely Sweden

Finnian Kelly Ireland

Ali Khodabakhsh Türkiye

Rong Tong Singapore

Hervé Bredin France

Julien Karadayi

266 ×0.8

AI

220 ×1.2

SP

29 ×0.9

ECP

25 ×0.8

DEP

50 ×2.4

CVPR

Citations per year, relative to Julien Karadayi Julien Karadayi (= 1×) peers Hervé Bredin

Countries citing papers authored by Julien Karadayi

Since Specialization

Citations

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

Fields of papers citing papers by Julien Karadayi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Karadayi

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Karadayi. A scholar is included among the top collaborators of Julien Karadayi 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 Julien Karadayi. Julien Karadayi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Boucher, Oliviér, Nicolas Bellouin, Hannah Clark, Edward Gryspeerdt, & Julien Karadayi. (2023). Comparison of Actual and Time-Optimized Flight Trajectories in the Context of the In-Service Aircraft for a Global Observing System (IAGOS) Programme. Aerospace. 10(9). 744–744. 2 indexed citations

2.

Karadayi, Julien, et al.. (2022). DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon. Transactions of the Association for Computational Linguistics. 10. 1051–1065. 8 indexed citations

3.

Karadayi, Julien, et al.. (2021). Learning spectro-temporal representations of complex sounds with parameterized neural networks. The Journal of the Acoustical Society of America. 150(1). 353–366. 5 indexed citations

4.

Dunbar, Ewan, Julien Karadayi, Mathieu Bernard, et al.. (2020). The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units. arXiv (Cornell University). 13 indexed citations

5.

Dunbar, Ewan, Julien Karadayi, Mathieu Bernard, et al.. (2020). The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units. 4831–4835. 30 indexed citations

6.

Kahn, Jacob, Wenlong Zheng, Eugene Kharitonov, et al.. (2020). Libri-Light: A Benchmark for ASR with Limited or No Supervision. arXiv (Cornell University). 7669–7673. 278 indexed citations breakdown →

7.

Räsänen, Okko, Julien Karadayi, Alejandrina Cristià, et al.. (2019). Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech. Speech Communication. 113. 63–80. 16 indexed citations

8.

Karadayi, Julien, et al.. (2018). Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. HAL (Le Centre pour la Communication Scientifique Directe). 2683–2687. 17 indexed citations

9.

Karadayi, Julien, et al.. (2018). The ACLEW DiViMe: An Easy-to-use Diarization Tool. 1383–1387. 19 indexed citations

10.

Dancette, Corentin, et al.. (2018). Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning. arXiv (Cornell University). 2658–2662. 1 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.

Explore authors with similar magnitude of impact