Trevor Strohman
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Speech Recognition and Synthesis 32
- Natural Language Processing Techniques 13
- Speech and dialogue systems 10
- Topic Modeling 8
- Domain Adaptation and Few-Shot Learning 2
- Advanced Text Analysis Techniques 1
-
- Speech and Audio Processing 18
- Music and Audio Processing 13
- Co-authors
- Tara N. Sainath (26 shared papers)Ruoming Pang (9 shared papers)Yanzhang He (10 shared papers)Shuo-Yiin Chang (10 shared papers)Yu Zhang (6 shared papers)Bo Li (9 shared papers)Yonghui Wu (2 shared papers)Khe Chai Sim (8 shared papers)
- Journals
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (4 papers)Interspeech 2022 (10 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Trevor Strohman
35 papers receiving 386 citations
Peers
Comparison fields: 5 of 27
- Signal Processing 253
- Artificial Intelligence 408
- Computer Vision and Pattern Recognition 21
- Experimental and Cognitive Psychology 12
- Hardware and Architecture 6
Countries citing papers authored by Trevor Strohman
This map shows the geographic impact of Trevor Strohman'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 Trevor Strohman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Strohman more than expected).
Fields of papers citing papers by Trevor Strohman
This network shows the impact of papers produced by Trevor Strohman. 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 Trevor Strohman. The network helps show where Trevor Strohman may publish in the future.
Co-authors
The 25 scholars most cited alongside Trevor Strohman, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 67 | |
| 2 | 2020 | 63 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 7 |
About Trevor Strohman
Trevor Strohman is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, General Health Professions and Control and Systems Engineering, having authored 36 papers that have together received 431 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (18 papers), Natural Language Processing Techniques (13 papers), Music and Audio Processing (13 papers), Speech and dialogue systems (10 papers), Topic Modeling (8 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (253 citations), Artificial Intelligence (408 citations), Computer Vision and Pattern Recognition (21 citations), Experimental and Cognitive Psychology (12 citations) and Hardware and Architecture (6 citations). Trevor Strohman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tara N. Sainath, Ruoming Pang, Yanzhang He, Shuo-Yiin Chang, Yu Zhang, Bo Li, Yonghui Wu, Khe Chai Sim, Zhouyuan Huo and Bo Li. Their work appears in journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.
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.