Yves Laprié
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
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- Phonetics and Phonology Research
Papers in
-
- Speech and Audio Processing 57
- Music and Audio Processing 12
-
- Phonetics and Phonology Research 46
- Co-authors
- Slim OuniMarie‐Odile BergerPierre‐André VuissozAsterios ToutiosJacques FelblingerJean‐Paul HatonShinji MaedaJun Cai
In The Last Decade
Yves Laprié
91 papers receiving 386 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 324
- Experimental and Cognitive Psychology 236
- Artificial Intelligence 302
- Linguistics and Language 30
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Yves Laprié
This map shows the geographic impact of Yves Laprié'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 Yves Laprié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Laprié more than expected).
Fields of papers citing papers by Yves Laprié
This network shows the impact of papers produced by Yves Laprié. 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 Yves Laprié. The network helps show where Yves Laprié may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yves Laprié, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | Modeling the temporal evolution of the vocal tract shape with deep learning | 2023 | 0 |
| 4 | 2023 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 17 | |
| 8 | 2016 | 1 | |
| 9 | 2014 | 1 | |
| 10 | Construction and evaluation of an articulatory model of the vocal tract | 2011 | 5 |
| 11 | 2011 | 1 | |
| 12 | Inter Speaker variability of labial coarticulation with the view of developing a formal coarticulation model for French | 2005 | 5 |
| 13 | Adapting visual data to a linear articulatory model | 2005 | 0 |
| 14 | 2003 | 2 | |
| 15 | Introduction of constraints in an acoustic-to-articulatory inversion | 2002 | 6 |
| 16 | Design of hypercube codebooks for the acoustic-to-articulatory inversion respecting the non-linearities of the articulatory-to-acoustic mapping. | 1999 | 4 |
| 17 | 1999 | 3 | |
| 18 | Cooperation of frequency and time-domain methods for pitch tracking | 1998 | 1 |
| 19 | 1996 | 1 | |
| 20 | 1996 | 20 |
About Yves Laprié
Yves Laprié is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language and Computer Vision and Pattern Recognition, having authored 105 papers that have together received 491 indexed citations. Recurring topics across this work include Speech and Audio Processing (57 papers), Speech Recognition and Synthesis (55 papers), Phonetics and Phonology Research (46 papers), Music and Audio Processing (12 papers), Voice and Speech Disorders (12 papers), Speech and dialogue systems (8 papers), Advanced Data Compression Techniques (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (324 citations), Experimental and Cognitive Psychology (236 citations), Artificial Intelligence (302 citations), Linguistics and Language (30 citations) and Computer Vision and Pattern Recognition (71 citations). Yves Laprié has collaborated with scholars based in France, China and Greece. Frequent co-authors include Slim Ouni, Marie‐Odile Berger, Pierre‐André Vuissoz, Asterios Toutios, Jacques Felblinger, Jean‐Paul Haton, Shinji Maeda, Jun Cai, Dominique Fohr and Erwan Kerrien. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication, European Archives of Oto-Rhino-Laryngology, Cognitive Computation and Computer Methods and Programs in Biomedicine.
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.