Duc Le
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 19
- Natural Language Processing Techniques 13
- Topic Modeling 8
- Speech and dialogue systems 7
-
- Speech and Audio Processing 9
- Music and Audio Processing 8
- Co-authors
- Emily Mower Provost (11 shared papers)Michael L. Seltzer (11 shared papers)Christian Fuegen (11 shared papers)Julian Chan (4 shared papers)Yangyang Shi (5 shared papers)Jay Mahadeokar (6 shared papers)Carol Persad (2 shared papers)Ching-Feng Yeh (4 shared papers)
- Journals
- Speech Communication (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)PubMed (1 paper)ArXiv.org (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- United StatesIsraelVietnam
In The Last Decade
Duc Le
29 papers receiving 616 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 293
- Artificial Intelligence 498
- Experimental and Cognitive Psychology 147
- Cognitive Neuroscience 124
- Health Informatics 6
Countries citing papers authored by Duc Le
This map shows the geographic impact of Duc Le'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 Duc Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc Le more than expected).
Fields of papers citing papers by Duc Le
This network shows the impact of papers produced by Duc Le. 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 Duc Le. The network helps show where Duc Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2013 | 83 | |
| 3 | 2021 | 51 | |
| 4 | 2016 | 48 | |
| 5 | 2021 | 47 | |
| 6 | 2018 | 44 | |
| 7 | 2016 | 36 | |
| 8 | 2019 | 36 | |
| 9 | 2017 | 34 | |
| 10 | 2018 | 32 | |
| 11 | 2014 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2014 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2013 | 9 |
About Duc Le
Duc Le is a scholar working on Artificial Intelligence, Signal Processing, Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 704 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (13 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers), Topic Modeling (8 papers), Speech and dialogue systems (7 papers), Neurobiology of Language and Bilingualism (6 papers) and Emotion and Mood Recognition (5 papers). The work is most often cited by research in Signal Processing (293 citations), Artificial Intelligence (498 citations), Experimental and Cognitive Psychology (147 citations), Cognitive Neuroscience (124 citations) and Health Informatics (6 citations). Duc Le has collaborated with scholars based in United States, Israel and Vietnam. Frequent co-authors include Emily Mower Provost, Michael L. Seltzer, Christian Fuegen, Julian Chan, Yangyang Shi, Jay Mahadeokar, Carol Persad, Ching-Feng Yeh, Chunyang Wu and Suyoun Kim. Their work appears in journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, PubMed, ArXiv.org and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.