Jonathan Le Roux

8.1k citations

109 papers · 3.6k indexed · 1 hit paper · h-index 31

Impact in

Signal Processing top 0.1%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques

Papers in

Signal Processing 93
- Speech and Audio Processing 88
- Music and Audio Processing 64
- Blind Source Separation Techniques 19
Artificial Intelligence 64
- Speech Recognition and Synthesis 57
- Speech and dialogue systems 7

Co-authors: John R. Hershey Shinji Watanabe Hakan Erdoğan Zhong-Qiu Wang Takaaki Hori Felix Weninger Nobutaka Ono Shigeki Sagayama
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (5 papers)IEEE Journal of Selected Topics in Signal Processing (2 papers)IEEE Transactions on Audio Speech and Language Processing (2 papers)The Journal of the Acoustical Society of America (2 papers)Speech Communication (1 paper)
Partner nations: United States Japan France

In The Last Decade

Jonathan Le Roux

105 papers receiving 3.3k citations

Hit Papers

align trajectories log scale

Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks 2015 · 447 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2015 Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks

Peers

Countries citing papers authored by Jonathan Le Roux

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Le Roux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Le Roux. 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 Jonathan Le Roux. The network helps show where Jonathan Le Roux may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Le Roux, 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 Jonathan Le Roux Line = papers co-authored together Jonathan Le Roux links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos Chiori Hori, Heon-Ju Park, Komei Sugiura, Ossian Bonnet, Sameer Khurana, Siddarth Jain, Tomoyo Yasukawa, Devesh K. Jha, Diego Romeres, Jonathan Le Roux	2025	1
2	The Sound Demixing Challenge 2023 – Cinematic Demixing Track SHILAP Revista de lepidopterología ·Stefan Uhlich, 이지누, Masato Hirano, Shusuke Takahashi, Gordon Wichern, Jonathan Le Roux, Shahin Faghihi, Sharada P. Mohanty, Bilal Ghazal, Yi Luo, Αριστέα Αχειλαρά, Rongzhi Gu, Roman Solovyev, Garry Yue, Tatiana Habruseva, P. Chmiel, Yuki Mitsufuji	2024	4
3	TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings IEEE/ACM Transactions on Audio Speech and Language Processing ·Christoph Boeddeker, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb‐Umbach, Jonathan Le Roux	2024	14
4	SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis arXiv (Cornell University) ·Cátedra Increa, Haochen Liu, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard	2024	4
5	Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks IEEE/ACM Transactions on Audio Speech and Language Processing ·R. K. Beraya, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux	2023	6
6	STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency IEEE/ACM Transactions on Audio Speech and Language Processing ·Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux	2022	26
7	Momentum Pseudo-Labeling: Semi-Supervised ASR With Continuously Improving Pseudo-Labels IEEE Journal of Selected Topics in Signal Processing ·Yosuke Higuchi, Niko Moritz, Jonathan Le Roux, Takaaki Hori	2022	10
8	Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation IEEE/ACM Transactions on Audio Speech and Language Processing ·Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux	2021	18
9	Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition Yosuke Higuchi, Niko Moritz, Jonathan Le Roux, Takaaki Hori	2021	20
10	Phasebook and Friends: Leveraging Discrete Representations for Source Separation IEEE Journal of Selected Topics in Signal Processing ·Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Byeonggun Lee, John R. Hershey	2019	40
11	Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks Hakan Erdoğan, John R. Hershey, Shinji Watanabe, Michael Mandel, Jonathan Le Roux	2016	216
12	The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement International Conference on Acoustics, Speech, and Signal Processing ·Felix Weninger, Shinji Watanabe, Jonathan Le Roux, Eva Fajria Ningrum, 채숙희, Jürgen T. Geiger, Björn W. Schuller, Gerhard Rigoll	2014	23
13	Statistical Dialogue Management using Intention Dependency Graph International Joint Conference on Natural Language Processing ·Koichiro Yoshino, Shinji Watanabe, Jonathan Le Roux, John R. Hershey	2013	3
14	Non-negative dynamical system with application to speech and audio Cédric Févotte, Jonathan Le Roux, John R. Hershey	2013	31
15	A statistical model of speech F0 contours. Conference of the International Speech Communication Association ·Hirokazu Kameoka, Jonathan Le Roux, Yasunori Ohishi	2010	17
16	Entropy and chaos in the Kac model Kinetic and Related Models ·Eric A. Carlen, Maria C. Carvalho, Jonathan Le Roux, Michael Loss, Cédric Villani	2010	30
17	Adaptive Template Matching with Shift-Invariant Semi-NMF Neural Information Processing Systems ·Jonathan Le Roux, Alain de Cheveigné, Lucas C. Parra	2008	9
18	Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction. Conference of the International Speech Communication Association ·Jonathan Le Roux, Nobutaka Ono, Shigeki Sagayama	2008	61
19	Separation of a monaural audio signal into harmonic/percussive components by complementary diffusion on spectrogram European Signal Processing Conference ·Nobutaka Ono, Ken‐ichi Miyamoto, Jonathan Le Roux, Hirokazu Kameoka, Shigeki Sagayama	2008	89
20	Computational auditory induction by missing-data non-negative matrix factorization. Conference of the International Speech Communication Association ·Jonathan Le Roux, Hirokazu Kameoka, Nobutaka Ono, Alain de Cheveigné, Shigeki Sagayama	2008	8

About Jonathan Le Roux

Jonathan Le Roux is a scholar working on Signal Processing, Artificial Intelligence, Computational Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 109 papers that have together received 3.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (88 papers), Music and Audio Processing (64 papers), Speech Recognition and Synthesis (57 papers), Blind Source Separation Techniques (19 papers), Advanced Adaptive Filtering Techniques (17 papers), Speech and dialogue systems (7 papers), Music Technology and Sound Studies (6 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Signal Processing (3.1k citations), Artificial Intelligence (2.0k citations), Computational Mechanics (862 citations), Computer Vision and Pattern Recognition (431 citations) and Cognitive Neuroscience (382 citations). Jonathan Le Roux has collaborated with scholars based in United States, Japan and France. Frequent co-authors include John R. Hershey, Shinji Watanabe, Hakan Erdoğan, Zhong-Qiu Wang, Takaaki Hori, Felix Weninger, Nobutaka Ono, Shigeki Sagayama, Hirokazu Kameoka and Niko Moritz. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America and Speech Communication.

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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