Jean-Marc Valin

2.8k total citations
46 papers, 913 citations indexed

About

Jean-Marc Valin is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jean-Marc Valin has authored 46 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 19 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jean-Marc Valin's work include Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (14 papers). Jean-Marc Valin is often cited by papers focused on Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (14 papers). Jean-Marc Valin collaborates with scholars based in Canada, United States and Australia. Jean-Marc Valin's co-authors include François Michaud, Jean Rouat, Dominic Létourneau, Kazuhiro Nakadai, Hiroshi G. Okuno, Koen Vos, Martin Lemay, Tetsuya Ogata, Kazunori Komatani and Parham Aarabi and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Signal Processing Letters and Robotics and Autonomous Systems.

In The Last Decade

Jean-Marc Valin

41 papers receiving 841 citations

Peers

Jean-Marc Valin
Nikunj Raghuvanshi United States
Jingjing Meng United States
F. Asano Japan
Nirupam Roy United States
Jean-Marc Valin
Citations per year, relative to Jean-Marc Valin Jean-Marc Valin (= 1×) peers Andy W. H. Khong

Countries citing papers authored by Jean-Marc Valin

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Valin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marc Valin. 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 Jean-Marc Valin. The network helps show where Jean-Marc Valin may publish in the future.

Co-authorship network of co-authors of Jean-Marc Valin

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

All Works

20 of 20 papers shown
1.
Valin, Jean-Marc, et al.. (2024). NOLACE: Improving Low-Complexity Speech Codec Enhancement Through Adaptive Temporal Shaping. 476–480. 2 indexed citations
2.
Valin, Jean-Marc, et al.. (2024). Very Low Complexity Speech Synthesis Using Framewise Autoregressive GAN (FARGAN) With Pitch Prediction. IEEE Signal Processing Letters. 31. 2115–2119. 2 indexed citations
3.
Valin, Jean-Marc, et al.. (2024). DRED: Deep REDundancy Coding of Speech Using a Rate-Distortion-Optimized Variational Autoencoder. IEEE Journal of Selected Topics in Signal Processing. 18(8). 1441–1447.
4.
Valin, Jean-Marc, et al.. (2024). Noise-Robust DSP-Assisted Neural Pitch Estimation With Very Low Complexity. 11851–11855. 1 indexed citations
8.
Giri, Ritwik, et al.. (2021). Semi-Supervised Singing Voice Separation With Noisy Self-Training. 31–35. 14 indexed citations
9.
Vos, Koen, et al.. (2013). Voice Coding with Opus. Journal of the Audio Engineering Society. 12 indexed citations
10.
Hoene, Christian, Jean-Marc Valin, Koen Vos, & Jan Skoglund. (2013). Summary of Opus listening test results. 2 indexed citations
11.
Valin, Jean-Marc, et al.. (2012). Definition of the Opus Audio Codec. RFC. 6716. 1–326. 48 indexed citations
12.
Valin, Jean-Marc, et al.. (2009). Evaluating real-time audio localization algorithms for artificial audition in robotics. 2033–2038. 38 indexed citations
13.
Sabrina, Fariza & Jean-Marc Valin. (2009). Priority Based Dynamic Rate Control for VoIP Traffic. Acquire (CQUniversity). 1–8. 5 indexed citations
14.
Ryan, Daniel J., Iain B. Collings, & Jean-Marc Valin. (2009). Reflected Simplex Codebooks for Limited Feedback MIMO Beamforming. 1–5.
15.
Valin, Jean-Marc, et al.. (2008). An iterative linearised solution to the sinusoidal parameter estimation problem. Computers & Electrical Engineering. 36(4). 603–616. 1 indexed citations
16.
Valin, Jean-Marc, François Michaud, & Jean Rouat. (2007). Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering. Robotics and Autonomous Systems. 55(3). 216–228. 194 indexed citations
17.
Valin, Jean-Marc, et al.. (2006). Improved Noise Weighting in CELP Coding of Speech - Applying the Vorbis Psychoacoustic Model To Speex. Journal of the Audio Engineering Society. 14 indexed citations
18.
Brière, Simon, et al.. (2006). Embedded and Integrated Audition for a Mobile Robot. National Conference on Artificial Intelligence. 6–10. 1 indexed citations
19.
Nakadai, Kazuhiro, Mikio Nakano, Hiroshi Tsujino, et al.. (2006). Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World. 5333–5338. 46 indexed citations
20.
Létourneau, Dominic, et al.. (2005). Code reusability tools for programming mobile robots. 2. 1820–1825. 64 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

Rankless by CCL
2026