Bela Usabaev
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech and Audio Processing 4
- Music and Audio Processing 3
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- Speech Recognition and Synthesis 4
- Co-authors
- Junichi Yamagishi (5 shared papers)Oliver Watts (5 shared papers)Simon King (5 shared papers)Mikko Kurimo (4 shared papers)Reima Karhila (4 shared papers)Keiichi Tokuda (4 shared papers)Jing Tian (1 shared paper)Raymond Hu (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)i-com (1 paper)ERA (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Bela Usabaev
6 papers receiving 325 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 142
- Artificial Intelligence 210
- Experimental and Cognitive Psychology 78
- Human-Computer Interaction 13
- Developmental Biology 4
Countries citing papers authored by Bela Usabaev
This map shows the geographic impact of Bela Usabaev'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 Bela Usabaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bela Usabaev more than expected).
Fields of papers citing papers by Bela Usabaev
This network shows the impact of papers produced by Bela Usabaev. 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 Bela Usabaev. The network helps show where Bela Usabaev may publish in the future.
Co-authors
The 15 scholars most cited alongside Bela Usabaev, 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 | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 | 2009 | 241 |
| 2 | 2010 | 54 | |
| 3 | The 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 | 2009 | 21 |
| 4 | 2010 | 16 | |
| 5 | 2009 | 15 | |
| 6 | 2012 | 1 | |
| 7 | 2022 | 0 |
About Bela Usabaev
Bela Usabaev is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Geology, having authored 7 papers that have together received 348 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers), Internet of Things and Social Network Interactions (1 paper), Computer Graphics and Visualization Techniques (1 paper), Music Technology and Sound Studies (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Signal Processing (142 citations), Artificial Intelligence (210 citations), Experimental and Cognitive Psychology (78 citations), Human-Computer Interaction (13 citations) and Developmental Biology (4 citations). Bela Usabaev has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Junichi Yamagishi, Oliver Watts, Simon King, Mikko Kurimo, Reima Karhila, Keiichi Tokuda, Jing Tian, Raymond Hu, Yi Guan and Keiichiro Oura. Their work appears in journals such as Language Resources and Evaluation, IEEE Transactions on Audio Speech and Language Processing, i-com, ERA and Edinburgh Research Explorer (University of Edinburgh).
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.