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
Papers in
-
- Speech and Audio Processing 4
- Music and Audio Processing 3
-
- Speech Recognition and Synthesis 4
- Co-authors
- Simon King (5 shared papers)Junichi Yamagishi (5 shared papers)Oliver Watts (5 shared papers)Reima Karhila (4 shared papers)Mikko Kurimo (4 shared papers)Keiichi Tokuda (4 shared papers)Jing Tian (1 shared paper)Yi Guan (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)i-com (1 paper)Edinburgh Research Explorer (University of Edinburgh) (2 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Bela Usabaev
6 papers receiving 309 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 142
- Artificial Intelligence 200
- Experimental and Cognitive Psychology 80
- Human-Computer Interaction 14
- Cognitive Neuroscience 38
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 | 229 |
| 2 | 2010 | 49 | |
| 3 | The 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 | 2009 | 21 |
| 4 | 2010 | 16 | |
| 5 | 2009 | 13 | |
| 6 | Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel | 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 329 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers), Music and Audio Processing (3 papers), 3D Surveying and Cultural Heritage (1 paper), Computer Graphics and Visualization Techniques (1 paper), Internet of Things and Social Network Interactions (1 paper) and Music Technology and Sound Studies (1 paper). The work is most often cited by research in Signal Processing (142 citations), Artificial Intelligence (200 citations), Experimental and Cognitive Psychology (80 citations), Human-Computer Interaction (14 citations) and Cognitive Neuroscience (38 citations). Bela Usabaev has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Simon King, Junichi Yamagishi, Oliver Watts, Reima Karhila, Mikko Kurimo, Keiichi Tokuda, Jing Tian, Yi Guan, Raymond Hu and Jilei Tian. Their work appears in journals such as Language Resources and Evaluation, IEEE Transactions on Audio Speech and Language Processing, i-com 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.