Jan Trmal
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Advanced Text Analysis Techniques
Papers in
-
- Speech Recognition and Synthesis 22
- Natural Language Processing Techniques 14
- Topic Modeling 5
- Speech and dialogue systems 5
- Algorithms and Data Compression 2
-
- Music and Audio Processing 9
- Speech and Audio Processing 6
- Co-authors
- Sanjeev Khudanpur (19 shared papers)Daniel Povey (10 shared papers)Pegah Ghahremani (3 shared papers)Korbinian Riedhammer (1 shared paper)Bagher BabaAli (2 shared papers)Guoguo Chen (6 shared papers)David Yarowsky (3 shared papers)Shinji Watanabe (3 shared papers)
- Journals
- Language Resources and Evaluation (1 paper)Figshare (2 papers)
- Partner nations
- United StatesIranChina
In The Last Decade
Jan Trmal
21 papers receiving 610 citations
Peers
Comparison fields: 5 of 52
- Signal Processing 411
- Artificial Intelligence 658
- Experimental and Cognitive Psychology 57
- Computer Vision and Pattern Recognition 53
- Linguistics and Language 6
Countries citing papers authored by Jan Trmal
This map shows the geographic impact of Jan Trmal'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 Jan Trmal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Trmal more than expected).
Fields of papers citing papers by Jan Trmal
This network shows the impact of papers produced by Jan Trmal. 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 Jan Trmal. The network helps show where Jan Trmal may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Trmal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 196 | |
| 2 | 2014 | 183 | |
| 3 | 2021 | 117 | |
| 4 | 2013 | 67 | |
| 5 | 2013 | 35 | |
| 6 | 2014 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2017 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2014 | 8 | |
| 12 | 2017 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 4 | |
| 16 | New release of Mixer-6: Improved validity for phonetic study of speaker variation and identification | 2016 | 3 |
| 17 | 2023 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2018 | 2 |
About Jan Trmal
Jan Trmal is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Radiation and Experimental and Cognitive Psychology, having authored 23 papers that have together received 716 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (22 papers), Natural Language Processing Techniques (14 papers), Music and Audio Processing (9 papers), Speech and Audio Processing (6 papers), Topic Modeling (5 papers), Speech and dialogue systems (5 papers), Algorithms and Data Compression (2 papers) and Nuclear Physics and Applications (1 paper). The work is most often cited by research in Signal Processing (411 citations), Artificial Intelligence (658 citations), Experimental and Cognitive Psychology (57 citations), Computer Vision and Pattern Recognition (53 citations) and Linguistics and Language (6 citations). Jan Trmal has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Sanjeev Khudanpur, Daniel Povey, Pegah Ghahremani, Korbinian Riedhammer, Bagher BabaAli, Guoguo Chen, David Yarowsky, Shinji Watanabe, Chunxi Liu and Yongqing Wang. Their work appears in journals such as Language Resources and Evaluation and Figshare.
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.